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Certified Adversarial Robustness with Additive Noise

10 September 2018

Lawrence Carin

Papers citing "Certified Adversarial Robustness with Additive Noise"

50 / 51 papers shown

Title
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models Xiangyu Yin Jiaxu Liu Zhen Chen Jinwei Hu Yi Dong Xiaowei Huang Wenjie Ruan AAML 82 0 0 08 Mar 2025
Smoothed Embeddings for Robust Language Models Ryo Hase Md Rafi Ur Rashid Ashley Lewis Jing Liu T. Koike-Akino K. Parsons Yanjie Wang AAML 105 2 0 27 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models Martin Pawelczyk Lillian Sun Zhenting Qi Aounon Kumar Himabindu Lakkaraju 148 2 0 03 Jan 2025
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 77 0 0 09 Oct 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 159 0 0 28 Aug 2024
Teaching Transformers Causal Reasoning through Axiomatic Training Aniket Vashishtha Abhinav Kumar Abbavaram Gowtham Reddy Vineeth N. Balasubramanian Amit Sharma Vineeth N Balasubramanian Amit Sharma 122 4 0 10 Jul 2024
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 113 194 0 06 Sep 2023
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 105 30 0 26 Oct 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 111 14 0 11 Sep 2021
On Norm-Agnostic Robustness of Adversarial Training Bai Li Changyou Chen Wenlin Wang Lawrence Carin OOD SILM 62 7 0 15 May 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 98 905 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 166 2,051 0 08 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 109 320 0 29 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 152 2,560 0 24 Jan 2019
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 98 765 0 02 Nov 2018
Unrestricted Adversarial Examples Tom B. Brown Nicholas Carlini Chiyuan Zhang Catherine Olsson Paul Christiano Ian Goodfellow AAML 63 103 0 22 Sep 2018
Evaluating and Understanding the Robustness of Adversarial Logit Pairing Logan Engstrom Andrew Ilyas Anish Athalye AAML 66 141 0 26 Jul 2018
Scaling provable adversarial defenses Eric Wong Frank R. Schmidt J. H. Metzen J. Zico Kolter AAML 78 450 0 31 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 113 695 0 25 Apr 2018
A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham Dvijotham Robert Stanforth Sven Gowal Timothy A. Mann Pushmeet Kohli 56 399 0 17 Mar 2018
Adversarial Logit Pairing Harini Kannan Alexey Kurakin Ian Goodfellow AAML 98 629 0 16 Mar 2018
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 92 251 0 23 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 96 939 0 09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 243 3,194 0 01 Feb 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 115 969 0 29 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 69 1,351 0 12 Dec 2017
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples Nicholas Carlini D. Wagner AAML 55 249 0 22 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 128 1,504 0 02 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 127 865 0 29 Oct 2017
Efficient Defenses Against Adversarial Attacks Valentina Zantedeschi Maria-Irina Nicolae Ambrish Rawat AAML 59 297 0 21 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,138 0 19 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 50 1,208 0 25 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation Matthias Hein Maksym Andriushchenko AAML 127 512 0 23 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,738 0 13 Apr 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,148 0 04 Nov 2016
Variance-based regularization with convex objectives John C. Duchi Hongseok Namkoong 78 351 0 08 Oct 2016
Robustness of classifiers: from adversarial to random noise Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 94 376 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 802 36,892 0 25 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 145 7,016 0 13 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016
Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng Yang Song Thomas Leung Ian Goodfellow OOD 58 639 0 15 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 116 3,077 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 89 602 0 16 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 284 14,968 1 21 Dec 2013