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Sijia Liu

  1. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
    2023/10/19 by Chongyu Fan, Fan, Chongyu, Jiancheng Liu +9 · 69 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Model Sparsity Can Simplify Machine Unlearning
    2023/04/11 by Jinghan Jia, Jiancheng Liu, Jia, Jinghan +13 · 35 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
    2023/10/18 by Yimeng Zhang, Jinghan Jia, Zhang, Yimeng +13 · 39 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
  4. Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
    2018/05/25 by Sijia Liu, Bhavya Kailkhura, Liu, Sijia +9 · 14 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  5. ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box\n Optimization
    2019/10/14 by Xiangyi Chen, Sijia Liu, Chen, Xiangyi +11 · 10 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  6. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
    2024/04/28 by Jinghan Jia, Jia, Jinghan, Yihua Zhang +13 · 20 citations
    Engineering · Computer Science · #Mineral Processing and Grinding #Distributed and Parallel Computing Systems #Reservoir Engineering and Simulation Methods
  7. The Lottery Ticket Hypothesis for Pre-trained BERT Networks
    2020/07/23 by Tianlong Chen, Jonathan Frankle, Chen, Tianlong +10 · 11 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  8. Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
    2024/06/12 by Jiabao Ji, Ji, Jiabao, Yujian Liu +11 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Library Science and Information Systems
  9. UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
    2024/02/19 by Yihua Zhang, Zhang, Yihua, Yimeng Zhang +15 · 15 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
  10. Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
    2019/09/24 by Minhao Cheng, Cheng, Minhao, Simranjit Singh +9 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  11. Advancing Model Pruning via Bi-level Optimization
    2022/10/08 by Yihua Zhang, Yuguang Yao, Zhang, Yihua +13 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  12. A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
    2023/03/29 by Haomin Zhuang, Zhuang, Haomin, Yihua Zhang +3 · 9 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Digital Media Forensic Detection
  13. An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
    2023/08/01 by Yihua Zhang, Prashant Khanduri, Zhang, Yihua +9 · 10 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  14. DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
    2023/10/03 by Aochuan Chen, Chen, Aochuan, Yimeng Zhang +17 · 10 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  15. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
    2025/02/07 by Chongyu Fan, Jinghan Jia, Fan, Chongyu +8 · 19 citations
    Computer Science · #Cloud Data Security Solutions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Privacy-Preserving Technologies in Data
  16. Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
    2020/03/28 by Tianlong Chen, Sijia Liu, Chen, Tianlong +9 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
  17. Rate-improved Inexact Augmented Lagrangian Method for Constrained Nonconvex Optimization
    2020/07/02 by Zichong Li, Pin‐Yu Chen, Li, Zichong +7 · 5 citations
    Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Optimization Algorithms Research
  18. Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
    2024/03/12 by Chongyu Fan, Fan, Chongyu, Jiancheng Liu +5 · 9 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics
  19. Structured Adversarial Attack: Towards General Implementation and Better Interpretability
    2018/08/05 by Kaidi Xu, Sijia Liu, Xu, Kaidi +15 · 8 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    2022/11/21 by Aochuan Chen, Yuguang Yao, Chen, Aochuan +7 · 6 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  21. Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
    2020/04/25 by Étienne David, David, E., Simon Madec +31 · 5 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Chemistry · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Listeria monocytogenes in Food Safety #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Agriculture and AI #Spectroscopy and Chemometric Analyses
  22. Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
    2017/10/21 by Sijia Liu, Liu, Sijia, Jie Chen +5 · 5 citations
    Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Antenna Design and Optimization #Direction-of-Arrival Estimation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  23. The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
    2020/12/12 by Tianlong Chen, Jonathan Frankle, Chen, Tianlong +11 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  24. Training Stronger Baselines for Learning to Optimize
    2020/10/18 by Tianlong Chen, Weiyi Zhang, Chen, Tianlong +11 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  25. Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
    2022/06/15 by Tianlong Chen, Huan Zhang, Chen, Tianlong +11 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  26. Proactive Image Manipulation Detection
    2022/03/29 by Vishal Asnani, Asnani, Vishal, Yin Xi +7 · 3 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Image Processing Techniques and Applications
  27. CNN-Cert: An Efficient Framework for Certifying Robustness of\n Convolutional Neural Networks
    2018/11/29 by Akhilan Boopathy, Tsui-Wei Weng, Boopathy, Akhilan +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Adversarial T-shirt! Evading Person Detectors in A Physical World
    2019/10/18 by Kaidi Xu, Xu, Kaidi, Gaoyuan Zhang +16 · 1 voice · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG
  29. More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
    2023/11/16 by Bingsheng Yao, Yao, Bingsheng, Guiming Chen +16 · 4 citations
    Engineering · #Non-Destructive Testing Techniques
  30. When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
    2025/04/15 by Hongkang Li, Yihua Zhang, Li, Hongkang +9 · 10 citations
    Computer Science · Physics and Astronomy · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Model Reduction and Neural Networks
  31. Proper Network Interpretability Helps Adversarial Robustness in Classification
    2020/06/26 by Akhilan Boopathy, Boopathy, Akhilan, Sijia Liu +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
  32. Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
    2024/04/18 by Jiabao Ji, Bairu Hou, Ji, Jiabao +17 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  33. From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
    2023/11/04 by Zhuoshi Pan, Yuguang Yao, Pan, Zhuoshi +11 · 3 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis
  34. Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
    2024/03/15 by Soumyadeep Pal, Pal, Soumyadeep, Yuguang Yao +7 · 3 citations
    Computer Science · #Digital and Cyber Forensics #Advanced Malware Detection Techniques #Network Security and Intrusion Detection
  35. On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
    2021/02/20 by Ren Wang, Wang, Ren, Kaidi Xu +11 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Thermal Regulation in Medicine
  36. LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
    2024/10/09 by Thomas Palmeira Ferraz, Ferraz, Thomas Palmeira, Kartik Mehta +19 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #cs.AI #cs.CL #cs.LG
  37. Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
    2020/07/31 by Ren Wang, Gaoyuan Zhang, Wang, Ren +9 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems
    2018/02/02 by Ao Ren, Ren, Ao, Sijia Liu +9 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Machine Learning and ELM #Neuroscience and Neural Engineering
  39. Fairness Improves Learning from Noisily Labeled Long-Tailed Data
    2023/03/22 by Jiaheng Wei, Wei, Jiaheng, Zhaowei Zhu +11 · 2 citations
    Computer Science · #Machine Learning and Data Classification
  40. What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
    2024/06/04 by Hongkang Li, Li, Hongkang, Meng Wang +9 · 3 citations
    Computer Science · #Data Visualization and Analytics #Cognitive Science and Mapping #Constraint Satisfaction and Optimization
  41. Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
    2019/03/23 by Shaokai Ye, Ye, Shaokai, Xiaoyu Feng +26 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Speech and Audio Processing
  42. An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
    2020/01/20 by Xiaolong Ma, Ma, Xiaolong, Wei Niu +19 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
  43. Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
    2020/09/29 by Pu Zhao, Zhao, Pu, Parikshit Ram +11 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research
  44. Higher-Order Certification for Randomized Smoothing
    2020/10/13 by Jeet Mohapatra, Mohapatra, Jeet, Ching-Yun Ko +9 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
  45. LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
    2025/04/14 by Pal, Soumyadeep, Changsheng Wang, Wang, Changsheng +6 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  46. Certifiably Robust Interpretation via Renyi Differential Privacy
    2021/07/04 by Ao Liu, Xiaoyu Chen, Liu, Ao +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
  47. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    2023/12/03 by Can Jin, Jin, Can, Tianjin Huang +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  48. When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
    2021/11/01 by Lijie Fan, Sijia Liu, Fan, Lijie +7 · 1 citation
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI
  49. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
    2024/11/27 by Haomin Zhuang, Zhuang, Haomin, Yihua Zhang +10 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  50. AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
    2023/08/14 by Sijia Liu, Jiahao Liu, Liu, Sijia +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  51. Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
    2025/03/14 by Yi‐Wei Chen, Yuguang Yao, Chen, Yiwei +9 · 4 citations
    Decision Sciences · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Measurement and Uncertainty Evaluation
  52. How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
    2024/03/12 by Hongkang Li, Shuai Zhang, Li, Hongkang +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
  53. Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
    2024/12/21 by Changchang Sun, Ren Wang, Sun, Changchang +13 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  54. Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
    2024/09/23 by Yuyan Chen, Chen, Yuyan, Yu Tang +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  55. FairSkin: Fair Diffusion for Skin Disease Image Generation
    2024/10/29 by Ruichen Zhang, Zhang, Ruichen, Yuguang Yao +15 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences
  56. Hide and Seek: How Does Watermarking Impact Face Recognition?
    2024/04/29 by Yuguang Yao, Yao, Yuguang, Steven Grosz +5 · 1 citation
    Computer Science · #Advanced Steganography and Watermarking Techniques #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis
  57. An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
    2018/04/09 by Pu Zhao, Sijia Liu, Zhao, Pu +5 · 2 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science #Advanced Neural Network Applications
  58. Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
    2025/02/05 by Jialiang Wu, Wu, Jialiang, Yi Shen +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  59. Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning
    2026/07/21 by Zijie Liu, Jinhao Duan, Gaowen Liu +2
    #cs.CL #cs.LG