Vikash Sehwag
18 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Conferences
ICML (7)
CVPR (4)
NIPS (4)
ICLR (2)
ECCV (1)
Top co-authors
Research topics
Keywords
adversarial attack
(3)
model compression
(3)
image classification
(2)
adversarial robustness
(2)
diffusion model
(2)
benchmark evaluation
(2)
stochastic gradient descent
(1)
prior learning
(1)
representation learning
(1)
text-to-image generation
(1)
image generation
(1)
binary classification
(1)
domain adaptation
(1)
model robustness
(1)
multi-task learning
(1)
adversarial training
(1)
network pruning
(1)
test-time adaptation
(1)
robust classification
(1)
adversarial learning
(1)
Papers
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
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
Adapting to Evolving Adversaries with Regularized Continual Robust Training
ICML 2025
Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
ICML 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NIPS 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
Differentially Private Image Classification by Learning Priors from Random Processes
NIPS 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
ICML 2023
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
ICLR 2022
Understanding Robust Learning through the Lens of Representation Similarities
NIPS 2022
Generating High Fidelity Data From Low-Density Regions Using Diffusion Models
CVPR 2022
SSD: A Unified Framework for Self-Supervised Outlier Detection
ICLR 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
ICML 2021
HYDRA: Pruning Adversarially Robust Neural Networks
NIPS 2020