ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers

27 October 2021

Papers citing "ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers"

22 / 22 papers shown

Title
Top-KAST: Top-K Always Sparse Training Siddhant M. Jayakumar Razvan Pascanu Jack W. Rae Simon Osindero Erich Elsen 138 97 0 07 Jun 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches Chong Xiang Prateek Mittal AAML 44 44 0 26 Apr 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification Shiqi Wang Huan Zhang Kaidi Xu Xue Lin Suman Jana Cho-Jui Hsieh Zico Kolter 109 199 0 11 Mar 2021
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis Fengting Li Xuankai Liu Xiaoli Zhang Qi Li Kun Sun Kang Li AAML 33 13 0 10 Feb 2021
Minority Reports Defense: Defending Against Adversarial Patches Michael McCoyd Won Park Steven Chen Neil Shah Ryan Roggenkemper Minjune Hwang J. Liu David Wagner AAML 39 55 0 28 Apr 2020
Certified Defenses for Adversarial Patches Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 42 171 0 14 Mar 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks Alexander Levine Soheil Feizi AAML 68 149 0 25 Feb 2020
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 115 264 0 31 Oct 2019
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications Zirui Xu Fuxun Yu Xiang Chen AAML 36 27 0 17 Oct 2019
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 66 171 0 20 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang Hongge Chen Chaowei Xiao Sven Gowal Robert Stanforth Yue Liu Duane S. Boning Cho-Jui Hsieh AAML 67 347 0 14 Jun 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 84 561 0 20 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 147 2,038 0 08 Feb 2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 111 161 0 05 Aug 2018
Local Gradients Smoothing: Defense against localized adversarial attacks Muzammal Naseer Salman H. Khan Fatih Porikli AAML 81 162 0 03 Jul 2018
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 72 799 0 16 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 123 1,501 0 02 Nov 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 201 2,524 0 19 Jul 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 121 1,857 0 20 May 2017
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,308 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013