Fan, Deliang

1. DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
   2020/03/30 by Fan Yao, Adnan Siraj Rakin, Yao, Fan +3 · 27 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Security and Verification in Computing #Advanced Malware Detection Techniques
2. Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
   2019/03/28 by Adnan Siraj Rakin, Zhezhi He, Rakin, Adnan Siraj +3 · 18 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis
3. DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
   2021/11/08 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Md Hafizul Islam Chowdhuryy +5 · 11 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Security and Verification in Computing
4. TRGP: Trust Region Gradient Projection for Continual Learning
   2022/02/07 by Sen Lin, Li Yang, Lin, Sen +5 · 10 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
5. LP-3DGS: Learning to Prune 3D Gaussian Splatting
   2024/05/29 by Zhaoliang Zhang, Zhang, Zhaoliang, Tianchen Song +11 · 17 citations
   Chemistry · Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Laser-induced spectroscopy and plasma #Spectroscopy and Laser Applications
6. Parametric Noise Injection: Trainable Randomness to Improve Deep Neural\n Network Robustness against Adversarial Attack
   2018/11/22 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Zhezhi He +3 · 8 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
7. Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
   2022/11/01 by Lin, Sen, Yang, Li, Fan, Deliang +1 · 9 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. TBT: Targeted Neural Network Attack with Bit Trojan
   2019/09/10 by Rakin, Adnan Siraj, He, Zhezhi, Fan, Deliang · 7 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
9. ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
   2022/05/09 by Li, Jingtao, Rakin, Adnan Siraj, Chen, Xing +3 · 6 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
    2020/11/05 by Adnan Siraj Rakin, Yukui Luo, Rakin, Adnan Siraj +5 · 3 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Physical Unclonable Functions (PUFs) and Hardware Security
11. Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions
    2018/07/18 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Jinfeng Yi +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
12. Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
    2018/10/02 by Zhezhi He, Deliang Fan, He, Zhezhi +1 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
13. Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform
    2019/04/11 by Shaahin Angizi, Angizi, Shaahin, Deliang Fan +1 · 2 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Parallel Computing and Optimization Techniques
14. Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?
    2019/07/03 by Ma, Xiaolong, Lin, Sheng, Ye, Shaokai +10 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
15. MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
    2020/11/25 by Sen Lin, Li Yang, Lin, Sen +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
16. RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
    2021/03/22 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Yang Li +13 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
17. Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
    2021/12/18 by Sun, Jingbo, Yang, Li, Zhang, Jiaxin +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
18. SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
    2025/09/26 by Guo, Jingkai, Chakrabarti, Chaitali, Fan, Deliang · 4 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
19. Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples
    2018/02/05 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Zhezhi He +5 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #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. SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
    2024/05/28 by Lee, Yongjae, Zhang, Zhaoliang, Fan, Deliang · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
21. T-BFA: Targeted Bit-Flip Adversarial Weight Attack
    2020/07/24 by Adnan Siraj Rakin, Rakin, Adnan Siraj, Zhezhi He +9 · 2 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)
22. Speedy MASt3R
    2025/03/13 by Jingxing Li, Li, Jingxing, Yongjae Lee +9 · 1 voice · 1 citation
    #cs.CV