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Chaudhuri, Kamalika

  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, Kirichenko, Polina, Mark Ibrahim +5 · 5 voices · 25 citations
    Computer Science · #cs.AI
  3. Differentially Private Empirical Risk Minimization
    2009/12/01 by Chaudhuri, Kamalika, Monteleoni, Claire, Sarwate, Anand D. · 23 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Approximate Data Deletion from Machine Learning Models
    2020/02/24 by Zachary Izzo, Izzo, Zachary, Mary Anne Smart +5 · 28 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
  5. An Introduction to Vision-Language Modeling
    2024/05/27 by Florian Bordes, Richard Yuanzhe Pang, Bordes, Florian +79 · 39 citations
    Social Sciences · #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG)
  6. SecAlign: Defending Against Prompt Injection with Preference Optimization
    2024/10/07 by Chen, Sizhe, Zharmagambetov, Arman, Mahloujifar, Saeed +3 · 39 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. 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
  8. Embodied AI Agents: Modeling the World
    2025/06/27 by Pascale Fung, Fung, Pascale, Yoram Bachrach +39 · 1 voice · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
  9. WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
    2025/04/22 by Evtimov, Ivan, Zharmagambetov, Arman, Grattafiori, Aaron +2 · 27 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  10. Pufferfish Privacy Mechanisms for Correlated Data
    2016/03/13 by Shuang Song, Song, Shuang, Yizhen Wang +3 · 4 citations
    Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Privacy, Security, and Data Protection #Mobile Crowdsensing and Crowdsourcing
  11. Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
    2024/04/16 by Tomani, Christian, Chaudhuri, Kamalika, Evtimov, Ivan +2 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. 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
  13. Locally Differentially Private Analysis of Graph Statistics
    2020/10/17 by Imola, Jacob, Murakami, Takao, Chaudhuri, Kamalika · 4 citations
    #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences
  14. 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
  15. Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
    2024/12/06 by Tatsuki Koga, Ruihan Wu, Koga, Tatsuki +3 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  16. 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
  17. 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
  18. 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
  19. Robustness of Locally Differentially Private Graph Analysis Against Poisoning
    2022/10/25 by Jacob Imola, Amrita Roy Chowdhury, Imola, Jacob +3 · 3 citations
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Random Matrices and Applications
  20. ViP: A Differentially Private Foundation Model for Computer Vision
    2023/06/15 by Yu, Yaodong, Sanjabi, Maziar, Ma, Yi +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Auditing f-Differential Privacy in One Run
    2024/10/29 by Mahloujifar, Saeed, Melis, Luca, Chaudhuri, Kamalika · 6 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. 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
  23. Effective pruning of web-scale datasets based on complexity of concept clusters
    2024/01/09 by Abbas, Amro, Rusak, Evgenia, Tirumala, Kushal +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  24. Understanding Instance-based Interpretability of Variational Auto-Encoders
    2021/05/29 by Zhifeng Kong, Kamalika Chaudhuri, Kong, Zhifeng +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
  25. Rates of Convergence for Nearest Neighbor Classification
    2014/06/30 by Chaudhuri, Kamalika, Dasgupta, Sanjoy · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  26. Beyond Disagreement-based Agnostic Active Learning
    2014/07/10 by Zhang, Chicheng, Chaudhuri, Kamalika · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons
    2015/03/31 by Zou, James Y., Chaudhuri, Kamalika, Kalai, Adam Tauman · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Convergence Rates of Active Learning for Maximum Likelihood Estimation
    2015/06/08 by Chaudhuri, Kamalika, Kakade, Sham, Netrapalli, Praneeth +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  29. The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions
    2016/04/21 by Zhang, Chicheng, Chaudhuri, Kamalika · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Differentially Private Continual Release of Graph Statistics
    2018/09/07 by Song, Shuang, Little, Susan, Mehta, Sanjay +2 · 1 citation
    #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  31. Data Poisoning Attacks against Online Learning
    2018/08/27 by Wang, Yizhen, Chaudhuri, Kamalika · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. 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
  33. Differentially Private Representation Learning via Image Captioning
    2024/03/04 by Tom Sander, Yaodong Yu, Sander, Tom +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
  34. 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
  35. Trustworthy AI Inference Systems: An Industry Research View
    2020/08/10 by Rosario Cammarota, Cammarota, Rosario, Matthias Schunter +41 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  36. Privacy Amplification Via Bernoulli Sampling
    2021/05/21 by Imola, Jacob, Chaudhuri, Kamalika · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  37. Understanding Rare Spurious Correlations in Neural Networks
    2022/02/10 by Yang, Yao-Yuan, Chou, Chi-Ning, Chaudhuri, Kamalika · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Sentence-level Privacy for Document Embeddings
    2022/05/10 by Meehan, Casey, Mrini, Khalil, Chaudhuri, Kamalika · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. 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
  40. Data-Copying in Generative Models: A Formal Framework
    2023/02/25 by Bhattacharjee, Robi, Dasgupta, Sanjoy, Chaudhuri, Kamalika · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
    2023/04/26 by Meehan, Casey, Bordes, Florian, Vincent, Pascal +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. A Closer Look at Accuracy vs. Robustness
    2020/03/05 by Yao-Yuan Yang, Cyrus Rashtchian, Yang, Yao-Yuan +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)
  43. Differentially Private Multi-Site Treatment Effect Estimation
    2023/10/10 by Tatsuki Koga, Koga, Tatsuki, Kamalika Chaudhuri +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
  44. RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
    2025/10/06 by Yuxin Wen, Wen, Yuxin, Arman Zharmagambetov +11 · 6 citations
    Psychology · #Behavioral and Psychological Studies
  45. Profile-Based Privacy for Locally Private Computations
    2019/01/21 by Geumlek, Joseph, Chaudhuri, Kamalika · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  46. DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
    2024/03/21 by Lebensold, Jonathan, Sanjabi, Maziar, Astolfi, Pietro +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. FairProof : Confidential and Certifiable Fairness for Neural Networks
    2024/02/19 by Yadav, Chhavi, Chowdhury, Amrita Roy, Boneh, Dan +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  48. Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model
    2022/05/03 by Imola, Jacob, Murakami, Takao, Chaudhuri, Kamalika · 1 citation
    #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences
  49. The Expressive Power of a Class of Normalizing Flow Models
    2020/05/31 by Zhifeng Kong, Kamalika Chaudhuri, Kong, Zhifeng +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)
  50. On Differentially Private U Statistics
    2024/07/06 by Chaudhuri, Kamalika, Loh, Po-Ling, Pandey, Shourya +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  51. Influence-based Attributions can be Manipulated
    2024/09/08 by Chhavi Yadav, Ruihan Wu, Yadav, Chhavi +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
  52. 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
  53. 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
  54. Measuring Déjà vu Memorization Efficiently
    2025/04/08 by Kokhlikyan, Narine, Jayaraman, Bargav, Bordes, Florian +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)