Analyzing Accuracy Loss in Randomized Smoothing Defenses

Analyzing Accuracy Loss in Randomized Smoothing Defenses

3 March 2020

Harrison Rosenberg

Papers citing "Analyzing Accuracy Loss in Randomized Smoothing Defenses"

19 / 19 papers shown

Title
$Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images$ Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum Travis Dick N. Manoj Hongyang R. Zhang AAML 47 79 0 10 Feb 2020
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman Greg Yang Jungshian Li Pengchuan Zhang Huan Zhang Ilya P. Razenshteyn Sébastien Bubeck AAML 57 544 0 09 Jun 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 92 2,018 0 08 Feb 2019
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 55 344 0 10 Sep 2018
$Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise$ Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise Jean-Yves Franceschi Alhussein Fawzi Omar Fawzi 27 21 0 22 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 69 931 0 09 Feb 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 78 967 0 29 Jan 2018
Towards Robust Neural Networks via Random Self-ensemble Xuanqing Liu Minhao Cheng Huan Zhang Cho-Jui Hsieh FedML AAML 78 419 0 02 Dec 2017
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification Xiaoyu Cao Neil Zhenqiang Gong AAML 44 209 0 17 Sep 2017
Efficient Defenses Against Adversarial Attacks Valentina Zantedeschi Maria-Irina Nicolae Ambrish Rawat AAML 28 297 0 21 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 195 11,962 0 19 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 241 4,612 0 10 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 440 3,124 0 04 Nov 2016
Robustness of classifiers: from adversarial to random noise Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 37 371 0 31 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 149 8,497 0 16 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features Joshua Saxe Konstantin Berlin 31 620 0 13 Aug 2015
An Empirical Evaluation of Deep Learning on Highway Driving Brody Huval Tao Wang S. Tandon Jeff Kiske W. Song ... Toki Migimatsu Royce Cheng-Yue Fernando A. Mujica Adam Coates A. Ng 43 600 0 07 Apr 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 140 14,831 1 21 Dec 2013

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