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Articles by Kamalika Chaudhuri

AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
12 March 2025 by Arman Zharmagambetov and others
Artificial Intelligence
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
26 February 2025 by Tatsuki Koga and others
Cryptography and Security, Artificial Intelligence
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
6 February 2025 by Chhavi Yadav and others
Machine Learning, Artificial Intelligence
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
15 January 2025 by Konstantin Garov and Kamalika Chaudhuri
Machine Learning
SecAlign: Defending Against Prompt Injection with Preference Optimization
13 January 2025 by Sizhe Chen and others
Cryptography and Security, Machine Learning
Differentially Private Representation Learning via Image Captioning
30 October 2024 by Tom Sander and others at LogoUC Berkeley
Computer Vision and Pattern Recognition, Machine Learning
Auditing f-Differential Privacy in One Run
29 October 2024 by Saeed Mahloujifar and others
Machine Learning, Cryptography and Security
Déjà Vu Memorization in Vision-Language Models
28 October 2024 by Bargav Jayaraman and others
Computer Vision and Pattern Recognition, Machine Learning
Distribution Learning with Valid Outputs Beyond the Worst-Case
21 October 2024 by Nick Rittler and Kamalika Chaudhuri
Machine Learning
Metric Differential Privacy at the User-Level Via the Earth Mover's Distance
8 October 2024 by Jacob Imola and others at LogoUniversity of Copenhagen
Cryptography and Security
Influence-based Attributions can be Manipulated
7 October 2024 by Chhavi Yadav and others
Machine Learning, Artificial Intelligence
FairProof : Confidential and Certifiable Fairness for Neural Networks
16 July 2024 by Chhavi Yadav and others at LogoUC San Diego
Machine Learning, Artificial Intelligence
On Differentially Private U Statistics
6 July 2024 by Kamalika Chaudhuri and others
Statistics Theory, Cryptography and Security
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
17 June 2024 by Kamalika Chaudhuri and others
Machine Learning, Cryptography and Security
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
29 May 2024 by Robi Bhattacharjee and others
Machine Learning
An Introduction to Vision-Language Modeling
27 May 2024 by Florian Bordes and others at LogoUniversité de Montréal
Machine Learning
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
13 May 2024 by Jonathan Lebensold and others
Machine Learning, Cryptography and Security
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
16 April 2024 by Christian Tomani and others
Computation and Language, Artificial Intelligence
Effective pruning of web-scale datasets based on complexity of concept clusters
12 March 2024 by Amro Abbas and others
Computer Vision and Pattern Recognition
Privacy Amplification for the Gaussian Mechanism via Bounded Support
7 March 2024 by Shengyuan Hu and others
Cryptography and Security, Machine Learning
Data Redaction from Conditional Generative Models
20 February 2024 by Zhifeng Kong and Kamalika Chaudhuri
Machine Learning, Computation and Language
Measuring Privacy Loss in Distributed Spatio-Temporal Data
18 February 2024 by Tatsuki Koga and others
Cryptography and Security
Unified Uncertainty Calibration
18 January 2024 by Kamalika Chaudhuri and David Lopez-Paz
Machine Learning
Communication-Efficient Triangle Counting under Local Differential Privacy
4 January 2024 by Jacob Imola and others
Cryptography and Security, Databases
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
13 December 2023 by Casey Meehan and others
Computer Vision and Pattern Recognition, Cryptography and Security
Differentially Private Multi-Site Treatment Effect Estimation
10 October 2023 by Tatsuki Koga and others
Machine Learning, Cryptography and Security
ViP: A Differentially Private Foundation Model for Computer Vision
28 June 2023 by Yaodong Yu and others
Computer Vision and Pattern Recognition, Cryptography and Security
Agnostic Multi-Group Active Learning
2 June 2023 by Nick Rittler and Kamalika Chaudhuri
Machine Learning
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
2 June 2023 by Nick Rittler and Kamalika Chaudhuri
Machine Learning
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
10 March 2023 by Chuan Guo and others
Machine Learning, Cryptography and Security
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