Security and Machine Learning in the Real World

13 July 2020

Papers citing "Security and Machine Learning in the Real World"

22 / 22 papers shown

Title
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 274 833 0 19 Feb 2020
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving Yulong Cao Chaowei Xiao Benjamin Cyr Yimeng Zhou Wonseok Park Sara Rampazzi Qi Alfred Chen Kevin Fu Z. Morley Mao AAML 47 537 0 16 Jul 2019
Stateful Detection of Black-Box Adversarial Attacks Steven Chen Nicholas Carlini D. Wagner AAML MLAU 55 124 0 12 Jul 2019
MobilBye: Attacking ADAS with Camera Spoofing Dudi Nassi Raz Ben-Netanel Yuval Elovici Ben Nassi AAML 29 27 0 24 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 80 355 0 25 May 2019
Unrestricted Adversarial Examples Tom B. Brown Nicholas Carlini Chiyuan Zhang Catherine Olsson Paul Christiano Ian Goodfellow AAML 52 103 0 22 Sep 2018
Efficient Formal Safety Analysis of Neural Networks Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 68 404 0 19 Sep 2018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena Ian Goodfellow AAML 61 322 0 28 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 73 228 0 18 Jul 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 80 1,616 0 09 Apr 2018
Adversarial Attacks and Defences Competition Alexey Kurakin Ian Goodfellow Samy Bengio Yinpeng Dong Fangzhou Liao ... Junjiajia Long Yerkebulan Berdibekov Takuya Akiba Seiya Tokui Motoki Abe AAML SILM 89 320 0 31 Mar 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 67 622 0 20 Mar 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 94 934 0 09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 219 3,185 0 01 Feb 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 97 1,080 0 05 Jan 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 76 1,095 0 27 Dec 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 125 1,501 0 02 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 304 12,063 0 19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 121 1,857 0 20 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 88 1,366 0 18 May 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 261 8,552 0 16 Aug 2016
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