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Eric Wong

  1. SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
    2023/10/05 by Alexander Robey, Robey, Alexander, Eric Wong +5 · 2 voices · 89 citations
    Computer Science · #Topic Modeling #Adversarial Robustness in Machine Learning #Natural Language Processing Techniques
  2. Jailbreaking Black Box Large Language Models in Twenty Queries
    2023/10/12 by Patrick Chao, Chao, Patrick, Alexander Robey +9 · 236 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  3. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
    2024/03/28 by Patrick Chao, Chao, Patrick, Edoardo Debenedetti +21 · 100 citations
    Computer Science · #Authorship Attribution and Profiling #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  4. Fast is better than free: Revisiting adversarial training
    2020/01/12 by Eric Wong, Leslie Rice, Wong, Eric +3 · 72 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Integrated Circuits and Semiconductor Failure Analysis
  5. Provable defenses against adversarial examples via the convex outer adversarial polytope
    2017/11/02 by Eric Wong, Wong, Eric, J. Zico Kolter +1 · 63 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  6. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
    2023/10/19 by Chongyu Fan, Jiancheng Liu, Fan, Chongyu +9 · 73 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)
  7. Faithful Chain-of-Thought Reasoning
    2023/01/31 by Qing Lyu, Lyu, Qing, Shreya Havaldar +13 · 59 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
  8. Overfitting in adversarially robust deep learning
    2020/02/26 by Leslie Rice, Eric Wong, Rice, Leslie +3 · 27 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Black Box Adversarial Prompting for Foundation Models
    2023/02/08 by Natalie Maus, Maus, Natalie, Patrick Chao +5 · 12 citations
    Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  10. Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
    2024/02/25 by Jiabao Ji, Bairu Hou, Ji, Jiabao +12 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection #Digital and Cyber Forensics
  11. In-context Example Selection with Influences
    2023/02/21 by Tai D. Nguyen, Nguyen, Tai, Eric Wong +1 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  12. Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
    2019/02/21 by Eric Wong, Wong, Eric, Frank R. Schmidt +3 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Leveraging Sparse Linear Layers for Debuggable Deep Networks
    2021/05/11 by Eric Wong, Wong, Eric, Shibani Santurkar +3 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  14. Learning perturbation sets for robust machine learning
    2020/07/16 by Eric Wong, J. Zico Kolter, Wong, Eric +1 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Certified Patch Robustness via Smoothed Vision Transformers
    2021/10/11 by Hadi Salman, Saachi Jain, Salman, Hadi +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. A Semismooth Newton Method for Fast, Generic Convex Programming
    2017/05/02 by Alnur Ali, Ali, Alnur, Eric Wong +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
  17. Stability Guarantees for Feature Attributions with Multiplicative Smoothing
    2023/07/12 by Anton Xue, Rajeev Alur, Xue, Anton +3 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Towards Compositionality in Concept Learning
    2024/06/26 by Adam Stein, Aaditya Naik, Stein, Adam +7 · 4 citations
    Social Sciences · #Computation and Language (cs.CL) #Educational Assessment and Pedagogy #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. When does Bias Transfer in Transfer Learning?
    2022/07/06 by Hadi Salman, Saachi Jain, Salman, Hadi +9 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  20. Probabilistic Soundness Guarantees in LLM Reasoning Chains
    2025/07/17 by Weiqiu You, Anton Xue, You, Weiqiu +11 · 1 voice · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #cs.CL #cs.LG
  21. Data-Efficient Learning with Neural Programs
    2024/06/10 by Alaia Solko-Breslin, Solko-Breslin, Alaia, Seewon Choi +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
  22. AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
    2024/10/31 by Xiayan Ji, Anton Xue, Ji, Xiayan +7 · 1 citation
    Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management