Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve
Adversarial Robustness

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness

28 June 2024

Pin-Yu Chen

Papers citing "Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness"

19 / 19 papers shown

Title
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs Sheng-Hsuan Peng Weilin Xu Cory Cornelius Matthew Hull Kevin Wenliang Li Rahul Duggal Mansi Phute Jason Martin Duen Horng Chau AAML 31 48 0 30 Aug 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 48 78 0 28 Feb 2023
Certified Training: Small Boxes are All You Need Mark Niklas Muller Franziska Eckert Marc Fischer Martin Vechev AAML 44 47 0 10 Oct 2022
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 54 77 0 02 Nov 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 62 117 0 14 Apr 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 86 197 0 31 Jan 2021
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 159 1,821 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 52 794 0 26 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 61 133 0 27 Jan 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 37 977 0 29 Nov 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID system Stepan Alekseevich Komkov Aleksandr Petiushko AAML CVBM 18 284 0 23 Aug 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 72 752 0 31 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 42 894 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 83 2,018 0 08 Feb 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 77 731 0 13 Dec 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 45 1,076 0 05 Jan 2018
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Pin-Yu Chen Yash Sharma Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 36 639 0 13 Sep 2017
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 434 36,643 0 08 Jun 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 43 14,831 1 21 Dec 2013

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