conftrace_

Vikash Sehwag

18 papers · 2020–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (39) 🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ”₯ Unstoppable (6) ❓ The Questioner (3) πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (81) ⚑ Prolific Year (5)

Conferences

ICML (7) CVPR (4) NIPS (4) ICLR (2) ECCV (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