Vikash Sehwag
18 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Papers
Adapting to Evolving Adversaries with Regularized Continual Robust Training
ICML 2025
Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
CVPR 2025
How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
ICML 2025
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
CVPR 2025
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
ICML 2024
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection
ECCV 2024
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
ICML 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NeurIPS 2024
Differentially Private Image Classification by Learning Priors from Random Processes
NeurIPS 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
ICML 2023
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Generating High Fidelity Data From Low-Density Regions Using Diffusion Models
CVPR 2022
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
ICLR 2022
Understanding Robust Learning through the Lens of Representation Similarities
NeurIPS 2022
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
ICML 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
ICLR 2021
HYDRA: Pruning Adversarially Robust Neural Networks
NeurIPS 2020