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Kamalika Chaudhuri

  1. How much do language models memorize?
    2025/05/30 by John X. Morris, Morris, John X., Chawin Sitawarin +13 · 9 voices · 22 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL
  2. AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
    2025/06/10 by Polina Kirichenko, Mark Ibrahim, Kirichenko, Polina +5 · 5 voices · 25 citations
    Computer Science · #cs.AI
  3. Approximate Data Deletion from Machine Learning Models
    2020/02/24 by Zachary Izzo, Izzo, Zachary, Mary Anne Smart +5 · 29 citations
    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
  4. Agent Security is a Systems Problem
    2026/05/18 by Mihai Christodorescu, Earlence Fernandes, Ashish Hooda +11 · 3 voices
    #cs.CR #cs.AI
  5. An Introduction to Vision-Language Modeling
    2024/05/27 by Florian Bordes, Bordes, Florian, Richard Yuanzhe Pang +79 · 39 citations
    Social Sciences · #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG)
  6. A parameter-free hedging algorithm
    2009/03/16 by Kamalika Chaudhuri, Yoav Freund, Chaudhuri, Kamalika +3 · 11 citations
    Decision Sciences · Economics, Econometrics and Finance · Business, Management and Accounting · #Advanced Bandit Algorithms Research #Stochastic processes and financial applications #Advanced Queuing Theory Analysis
  7. Embodied AI Agents: Modeling the World
    2025/06/27 by Pascale Fung, Yoram Bachrach, Fung, Pascale +39 · 1 voice · 20 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
  8. Pufferfish Privacy Mechanisms for Correlated Data
    2016/03/13 by Shuang Song, Yizhen Wang, Song, Shuang +3 · 4 citations
    Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Privacy, Security, and Data Protection #Mobile Crowdsensing and Crowdsourcing
  9. Near-Optimal Algorithms for Differentially-Private Principal Components
    2012/07/12 by Kamalika Chaudhuri, Anand D. Sarwate, Chaudhuri, Kamalika +3 · 3 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Stochastic Gradient Optimization Techniques
  10. AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
    2025/03/12 by Arman Zharmagambetov, Chuan Guo, Zharmagambetov, Arman +9 · 15 citations
    Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Privacy, Security, and Data Protection #Ethics and Social Impacts of AI
  11. Learning to Blame: Localizing Novice Type Errors with Data-Driven Diagnosis
    2017/08/25 by Eric L. Seidel, Huma Sibghat, Kamalika Chaudhuri +2 · 2 voices
    #cs.PL
  12. Why does Throwing Away Data Improve Worst-Group Error?
    2022/05/23 by Kamalika Chaudhuri, Chaudhuri, Kamalika, Martín Arjovsky +4 · 4 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Anomaly Detection Techniques and Applications
  13. A Non-Parametric Test to Detect Data-Copying in Generative Models
    2020/04/12 by Casey Meehan, Meehan, Casey, Kamalika Chaudhuri +3 · 3 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning and Data Classification #Music and Audio Processing
  14. Exploring Connections Between Active Learning and Model Extraction
    2018/11/05 by Varun Chandrasekaran, Chandrasekaran, Varun, Kamalika Chaudhuri +7 · 3 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  15. Robustness of Locally Differentially Private Graph Analysis Against Poisoning
    2022/10/25 by Jacob Imola, Imola, Jacob, Amrita Roy Chowdhury +3 · 3 citations
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Random Matrices and Applications
  16. Bounding Training Data Reconstruction in Private (Deep) Learning
    2022/01/28 by Chuan Guo, Guo, Chuan, Brian Karrer +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  17. Understanding Instance-based Interpretability of Variational Auto-Encoders
    2021/05/29 by Zhifeng Kong, Kong, Zhifeng, Kamalika Chaudhuri +1 · 2 citations
    Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  18. Evaluating Deep Unlearning in Large Language Models
    2024/10/19 by Ruihan Wu, Wu, Ruihan, Chhavi Yadav +5 · 3 citations
    Engineering · #Advanced Data Processing Techniques
  19. Differentially Private Representation Learning via Image Captioning
    2024/03/04 by Tom Sander, Sander, Tom, Yaodong Yu +11 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #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
  20. Déjà Vu Memorization in Vision-Language Models
    2024/02/03 by Bargav Jayaraman, Chuan Guo, Jayaraman, Bargav +3 · 2 citations
    Computer Science · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Semantic Web and Ontologies
  21. Thompson Sampling for Robust Transfer in Multi-Task Bandits
    2022/06/17 by Zhi Wang, Chicheng Zhang, Wang, Zhi +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  22. A Closer Look at Accuracy vs. Robustness
    2020/03/05 by Yao-Yuan Yang, Yang, Yao-Yuan, Cyrus Rashtchian +7 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Differentially Private Multi-Site Treatment Effect Estimation
    2023/10/10 by Tatsuki Koga, Kamalika Chaudhuri, Koga, Tatsuki +3 · 1 citation
    Computer Science · Mathematics · Medicine · #Advanced Causal Inference Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medication Adherence and Compliance #Privacy-Preserving Technologies in Data
  24. RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
    2025/10/06 by Yuxin Wen, Arman Zharmagambetov, Wen, Yuxin +11 · 6 citations
    Psychology · #Behavioral and Psychological Studies
  25. The Expressive Power of a Class of Normalizing Flow Models
    2020/05/31 by Zhifeng Kong, Kong, Zhifeng, Kamalika Chaudhuri +1 · 1 citation
    Computer Science · #Algorithms and Data Compression #Artificial Intelligence in Games #Cellular Automata and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Influence-based Attributions can be Manipulated
    2024/09/08 by Chhavi Yadav, Yadav, Chhavi, Ruihan Wu +3 · 1 citation
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Opinion Dynamics and Social Influence
  27. Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
    2025/06/06 by Rongzhe Wei, Peizhi Niu, Wei, Rongzhe +20 · 3 citations
    Computer Science · #Imbalanced Data Classification Techniques
  28. A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
    2025/01/15 by Konstantin Garov, Garov, Konstantin, Kamalika Chaudhuri +1 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Water Systems and Optimization