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Events

first seen date

2024-11-04 16:40:07

expired found date

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created at

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Open Graph

title

description

image

site name

author

updated

2026-03-07 04:21:25

raw text

SoK: Certified Robustness for Deep Neural Networks SoK: Certified Robustness for Deep Neural Networks Benchmark Leaderboard Paper Website Repo Toolbox Repo This is the accompying website of SoK: Certified Robustness for Deep Neural Networks to appear at IEEE SP 2023 . @inproceedings {li2023sok, title = {SoK: Certified Robustness for Deep Neural Networks}, author = {Linyi Li and Tao Xie and Bo Li}, booktitle = {44th {IEEE} Symposium on Security and Privacy, {SP} 2023, San Francisco, CA, USA, 22-26 May 2023}, publisher = {IEEE}, year = {2023} } This website provides full benchmark results and state-of-the-art leaderboard on the certified robustness for deep neural networks. Benchmark : In the benchmark page, we provide full comparison results along with experimental setups of representative certifiably robust approaches, including both verification approaches for DNNs and verification + training approaches for smoothed DNNs. These ...

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