Vikash Sehwag

RobustBench: a standardized adversarial robustness benchmark

Francesco Croce, Maksym Andriushchenko, Vikash Sehwag et al. · arXiv (Cornell University) · 2020 · 116 citations · Full text

Artificial Intelligence, Data Augmentation, Image Classification +15

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr et al. · arXiv (Cornell University) · 2023 · 96 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

Analyzing the Robustness of Open-World Machine Learning

Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song et al. · 2019 · 57 citations · Full text

Artificial Intelligence, Open-world Machine Learning, Ood Inputs +15

SSD: A Unified Framework for Self-Supervised Outlier Detection

Vikash Sehwag, Mung Chiang, Prateek Mittal · arXiv (Cornell University) · 2021 · 44 citations · Full text

Anomaly Detection, Machine Learning, Engineering +19

PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking

Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag et al. · arXiv (Cornell University) · 2020 · 37 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18