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Hamed Hassani

  1. SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
    2023/10/05 by Alexander Robey, Robey, Alexander, Eric Wong +5 · 2 voices · 80 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 · 220 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, Edoardo Debenedetti, Chao, Patrick +21 · 93 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. Exploiting Shared Representations for Personalized Federated Learning
    2021/02/14 by Liam Collins, Hamed Hassani, Collins, Liam +5 · 33 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Privacy-Preserving Technologies in Data #Advanced Neural Network Applications
  5. Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
    2019/06/11 by Mahyar Fazlyab, Alexander Robey, Fazlyab, Mahyar +7 · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
  6. Conditional Gradient Methods
    2022/11/25 by Gábor Braun, Alejandro Carderera, Braun, Gábor +11 · 16 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and ELM
  7. A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
    2023/10/11 by Behrad Moniri, Moniri, Behrad, Donghwan Lee +5 · 10 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
  8. Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
    2024/02/25 by Jiabao Ji, Ji, Jiabao, Bairu Hou +12 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection #Digital and Cyber Forensics
  9. Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
    2025/02/04 by Shayan Kiyani, George J. Pappas, George Pappas +6 · 2 voices · 11 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Statistical and Computational Modeling #cs.AI #cs.LG #stat.ML
  10. Model-Based Domain Generalization
    2021/02/23 by Alexander Robey, George J. Pappas, Robey, Alexander +3 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Algorithms
  11. Evaluating the Performance of Large Language Models via Debates
    2024/06/16 by Behrad Moniri, Moniri, Behrad, Hamed Hassani +3 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  12. Age of Information in Random Access Channels
    2019/12/03 by Xingran Chen, Konstantinos Gatsis, Chen, Xingran +5 · 3 citations
    Computer Science · Engineering · Materials Science · #Age of Information Optimization #IoT Networks and Protocols #Ga2O3 and related materials
  13. T-Cal: An optimal test for the calibration of predictive models
    2022/03/03 by Donghwan Lee, Xinmeng Huang, Lee, Donghwan +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Machine Learning and Algorithms
  14. Uncertainty in Language Models: Assessment through Rank-Calibration
    2024/04/04 by Xinmeng Huang, Huang, Xinmeng, Shuo Li +13 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  15. Jailbreaking LLM-Controlled Robots
    2024/10/17 by Alexander Robey, Robey, Alexander, Zachary Ravichandran +7 · 6 voices
    Computer Science · Engineering · #Advanced Malware Detection Techniques #Modular Robots and Swarm Intelligence #Digital and Cyber Forensics
  16. Toward Certified Robustness Against Real-World Distribution Shifts
    2022/06/08 by Haoze Wu, Teruhiro Tagomori, Wu, Haoze +15 · 3 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  17. Conformal Prediction with Learned Features
    2024/04/26 by Shayan Kiyani, George J. Pappas, Kiyani, Shayan +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  18. One-Shot Safety Alignment for Large Language Models via Optimal Dualization
    2024/05/29 by Xinmeng Huang, Huang, Xinmeng, Shuo Li +9 · 4 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  19. Safety Guardrails for LLM-Enabled Robots
    2025/03/10 by Zachary Ravichandran, Ravichandran, Zachary, Alexander Robey +7 · 7 citations
    Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Real-time simulation and control systems #Robotics (cs.RO) #Transportation Safety and Impact Analysis
  20. Adversarial Robustness with Semi-Infinite Constrained Learning
    2021/10/29 by Alexander Robey, Robey, Alexander, Luiz F. O. Chamon +7 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
    2022/04/02 by Anton Xue, Lars Lindemann, Xue, Anton +9 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms
  22. Quantized Decentralized Stochastic Learning over Directed Graphs
    2020/02/23 by Hossein Taheri, Aryan Mokhtari, Taheri, Hossein +5 · 2 citations
    Computer Science · #Cooperative Communication and Network Coding #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Parallel #Privacy-Preserving Technologies in Data #Signal Processing (eess.SP) #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
  23. On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
    2025/02/03 by Thomas T. Zhang, Zhang, Thomas T., Behrad Moniri +10 · 5 citations
    Computer Science · #Neural Networks and Applications #Machine Learning and ELM #Speech Recognition and Synthesis
  24. Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
    2023/07/13 by Liam Collins, Hamed Hassani, Collins, Liam +7 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
  25. Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
    2025/02/18 by Sunay Joshi, Shayan Kiyani, Joshi, Sunay +7 · 4 citations
    Computer Science · #Gaussian Processes and Bayesian Inference
  26. Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
    2023/01/03 by Aritra Mitra, George J. Pappas, Mitra, Aritra +3 · 2 citations
    Computer Science · #Age of Information Optimization #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
  27. Optimal Algorithms for Submodular Maximization with Distributed Constraints
    2019/09/30 by Alexander Robey, Arman Adibi, Robey, Alexander +7 · 1 citation
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Optimization and Search Problems
  28. Learning to Track Dynamic Targets in Partially Known Environments
    2020/06/17 by Heejin Jeong, Hamed Hassani, Jeong, Heejin +7 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Anomaly Detection Techniques and Applications #Reinforcement Learning in Robotics
  29. Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
    2024/03/12 by Eric Lei, Lei, Eric, Hamed Hassani +3 · 2 citations
    Computer Science · Engineering · #Neural Networks and Applications #Image and Signal Denoising Methods #CCD and CMOS Imaging Sensors
  30. Provable tradeoffs in adversarially robust classification
    2020/06/09 by Edgar Dobriban, Dobriban, Edgar, Hamed Hassani +5 · 1 citation
    Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Minimax Optimization: The Case of Convex-Submodular
    2021/11/01 by Arman Adibi, Adibi, Arman, Aryan Mokhtari +3 · 1 citation
    Computer Science · Engineering · #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
  32. Watermark Smoothing Attacks against Language Models
    2024/07/19 by Hongyan Chang, Hamed Hassani, Chang, Hongyan +3 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  33. Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
    2022/02/18 by Mohammad Fereydounian, Aryan Mokhtari, Fereydounian, Mohammad +5 · 1 citation
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Distributed Sensor Networks and Detection Algorithms
  34. Demystifying Disagreement-on-the-Line in High Dimensions
    2023/01/31 by Donghwan Lee, Behrad Moniri, Lee, Donghwan +7 · 1 citation
    Computer Science · Mathematics · #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) #Machine Learning (stat.ML) #Statistical Methods and Inference
  35. Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation
    2023/05/25 by Bruce D. Lee, Thomas T. C. K. Zhang, Lee, Bruce D. +5 · 1 citation
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Markov Chains and Monte Carlo Methods
  36. Adversarial Training Should Be Cast as a Non-Zero-Sum Game
    2023/06/19 by Alexander Robey, Robey, Alexander, Fabian Latorre +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  37. Stochastic Conditional Gradient++
    2019/02/19 by Hamed Hassani, Hassani, Hamed, Amin Karbasi +5 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Complexity and Algorithms in Graphs
  38. Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
    2023/09/11 by Zebang Shen, Shen, Zebang, Jiayuan Ye +7 · 1 citation
    Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  39. Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
    2024/06/04 by Mahdi Sabbaghi, Sabbaghi, Mahdi, George J. Pappas +5 · 1 citation
    Mathematics · Social Sciences · #Cognitive and developmental aspects of mathematical skills #Mathematics Education and Teaching Techniques
  40. Conformal Information Pursuit for Interactively Guiding Large Language Models
    2025/07/04 by Kwan Ho Ryan Chan, Chan, Kwan Ho Ryan, Yuyan Ge +7 · 2 citations
    Computer Science · #Topic Modeling
  41. Sinkhorn Barycenter via Functional Gradient Descent
    2020/07/20 by Zebang Shen, Zhenfu Wang, Shen, Zebang +5 · 1 citation
    Computer Science · Mathematics · #Topological and Geometric Data Analysis #Point processes and geometric inequalities #Medical Image Segmentation Techniques
  42. Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
    2019/02/17 by Mingrui Zhang, Lin Chen, Zhang, Mingrui +7 · 1 citation
    Computer Science · #Data Structures and Algorithms (cs.DS) #Distributed #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Quantum Computing Algorithms and Architecture #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)