Center Smoothing: Certified Robustness for Networks with Structured
Outputs

Center Smoothing: Certified Robustness for Networks with Structured Outputs

19 February 2021

Papers citing "Center Smoothing: Certified Robustness for Networks with Structured Outputs"

19 / 19 papers shown

Title
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 58 188 0 06 Sep 2023
Adversarial Attack on Facial Recognition using Visible Light Morgan Frearson Kien Nguyen AAML 34 7 0 25 Nov 2020
Tight Second-Order Certificates for Randomized Smoothing Alexander Levine Aounon Kumar Thomas A. Goldstein Soheil Feizi AAML 38 16 0 20 Oct 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 39 60 0 01 Jun 2020
Functional Adversarial Attacks Cassidy Laidlaw Soheil Feizi AAML 59 185 0 29 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 77 354 0 25 May 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 122 2,028 0 08 Feb 2019
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 52 97 0 29 Nov 2018
Stochastic Activation Pruning for Robust Adversarial Defense Guneet Singh Dhillon Kamyar Azizzadenesheli Zachary Chase Lipton Jeremy Bernstein Jean Kossaifi Aran Khanna Anima Anandkumar AAML 58 546 0 05 Mar 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 140 601 0 15 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 325 11,722 0 11 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 88 1,077 0 05 Jan 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 71 308 0 27 Nov 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 115 1,854 0 20 May 2017
Adversarial examples for generative models Jernej Kos Ian S. Fischer D. Song GAN 62 273 0 22 Feb 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 70 712 0 21 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 458 3,137 0 04 Nov 2016
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Kaipeng Zhang Zhanpeng Zhang Zhifeng Li Yu Qiao CVBM 168 4,954 0 11 Apr 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 222 14,893 1 21 Dec 2013

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