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VSehwag (Vikash Sehwag) · GitHub
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Research Scientist @SonyAI. PhD @princeton. AI safety & Alignment.
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Princeton University
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inspire-group/hydra
inspire-group/hydra PublicCode and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).
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RobustBench/robustbench
RobustBench/robustbench PublicRobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
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inspire-group/SSD
inspire-group/SSD PublicSSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
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RobustBench/robustbench.github.io
RobustBench/robustbench.github.io PublicWebsite for the RobustBench leaderboard
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minimal-diffusion
minimal-diffusion PublicA minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
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