v1v2v3 (latest)

Provable defenses against adversarial examples via the convex outer adversarial polytope

2 November 2017

Eric Wong

J. Zico Kolter

AAML

ArXiv (abs)PDF HTML Github (387★)

Papers citing "Provable defenses against adversarial examples via the convex outer adversarial polytope"

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Title
Physically Realizable Adversarial Examples for LiDAR Object DetectionComputer Vision and Pattern Recognition (CVPR), 2020 James Tu Mengye Ren S. Manivasagam Ming Liang Binh Yang Richard Du Frank Cheng R. Urtasun 3DPC 226 275 0 01 Apr 2020
Safety-Aware Hardening of 3D Object Detection Neural Network SystemsInternational Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2020 Chih-Hong Cheng 3DPC 228 12 0 25 Mar 2020
ARDA: Automatic Relational Data Augmentation for Machine LearningProceedings of the VLDB Endowment (PVLDB), 2020 Nadiia Chepurko Ryan Marcus Emanuel Zgraggen Raul Castro Fernandez Tim Kraska David R Karger 117 15 0 21 Mar 2020
Quantum noise protects quantum classifiers against adversariesPhysical Review Research (PRResearch), 2020 Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 149 131 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State ObservationsNeural Information Processing Systems (NeurIPS), 2020 Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 381 341 0 19 Mar 2020
RAB: Provable Robustness Against Backdoor AttacksIEEE Symposium on Security and Privacy (IEEE S&P), 2020 Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 568 182 0 19 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and DefenceFrontiers in Big Data (Front. Big Data), 2020 Christian Berghoff Matthias Neu Arndt von Twickel AAML 193 26 0 18 Mar 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks Y. Tashiro Yang Song Stefano Ermon AAML 210 14 0 15 Mar 2020
Certified Defenses for Adversarial PatchesInternational Conference on Learning Representations (ICLR), 2020 Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 132 187 0 14 Mar 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 89 2 0 12 Mar 2020
Exploiting Verified Neural Networks via Floating Point Numerical ErrorSensors Applications Symposium (SA), 2020 Kai Jia Martin Rinard AAML 239 43 0 06 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 198 23 0 04 Mar 2020
Hidden Cost of Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Weng Sijia Liu Pin-Yu Chen Luca Daniel AAML 199 11 0 02 Mar 2020
Exactly Computing the Local Lipschitz Constant of ReLU NetworksNeural Information Processing Systems (NeurIPS), 2020 Matt Jordan A. Dimakis 249 131 0 02 Mar 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Xiao Zhang Jinghui Chen Quanquan Gu David Evans 137 17 0 01 Mar 2020
Improving Certified Robustness via Statistical Learning with Logical ReasoningNeural Information Processing Systems (NeurIPS), 2020 Zhuolin Yang Zhikuan Zhao Wei Ping Jiawei Zhang Linyi Li ... Bojan Karlas Ji Liu Heng Guo Ce Zhang Yue Liu AAML 568 15 0 28 Feb 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Shiyu Huang B. Kailkhura Xinyu Lin Cho-Jui Hsieh AAML 267 15 0 28 Feb 2020
Certified Defense to Image Transformations via Randomized SmoothingNeural Information Processing Systems (NeurIPS), 2020 Marc Fischer Maximilian Baader Martin Vechev AAML 466 73 0 27 Feb 2020
TSS: Transformation-Specific Smoothing for Robustness CertificationConference on Computer and Communications Security (CCS), 2020 Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Yue Liu AAML 416 61 0 27 Feb 2020
Overfitting in adversarially robust deep learningInternational Conference on Machine Learning (ICML), 2020 Leslie Rice Eric Wong Zico Kolter 517 883 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning StrongerInternational Conference on Machine Learning (ICML), 2020 Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 140 438 0 26 Feb 2020
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsComputers & security (CS), 2020 E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay AAML 181 14 0 25 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 196 25 0 24 Feb 2020
Precise Tradeoffs in Adversarial Training for Linear RegressionAnnual Conference Computational Learning Theory (COLT), 2020 Adel Javanmard Mahdi Soltanolkotabi Hamed Hassani AAML 153 121 0 24 Feb 2020
Lagrangian Decomposition for Neural Network VerificationConference on Uncertainty in Artificial Intelligence (UAI), 2020 Rudy Bunel Alessandro De Palma Alban Desmaison Krishnamurthy Dvijotham Pushmeet Kohli Juil Sock M. P. Kumar 256 52 0 24 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust TrainingInternational Conference on Machine Learning (ICML), 2020 Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 233 84 0 24 Feb 2020
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers Chen Zhu Renkun Ni Ping Yeh-Chiang Hengduo Li Furong Huang Tom Goldstein 131 5 0 22 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based FrameworkNeural Information Processing Systems (NeurIPS), 2020 Dinghuai Zhang Mao Ye Chengyue Gong Zhanxing Zhu Qiang Liu AAML 208 68 0 21 Feb 2020
Randomized Smoothing of All Shapes and SizesInternational Conference on Machine Learning (ICML), 2020 Greg Yang Tony Duan J. E. Hu Hadi Salman Ilya P. Razenshteyn Jungshian Li AAML 383 228 0 19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 180 44 0 19 Feb 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 135 16 0 18 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2020 Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 115 12 0 17 Feb 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of DimensionalityNeural Information Processing Systems (NeurIPS), 2020 Yi Zhang Orestis Plevrakis S. Du Xingguo Li Zhao Song Sanjeev Arora 212 55 0 16 Feb 2020
Robustness Verification for TransformersInternational Conference on Learning Representations (ICLR), 2020 Zhouxing Shi Huan Zhang Kai-Wei Chang Shiyu Huang Cho-Jui Hsieh AAML 182 124 0 16 Feb 2020
Adversarial Distributional Training for Robust Deep LearningNeural Information Processing Systems (NeurIPS), 2020 Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 173 137 0 14 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard ModelsInternational Conference on Machine Learning (ICML), 2020 Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 237 66 0 11 Feb 2020
Adversarial Robustness for CodeInternational Conference on Machine Learning (ICML), 2020 Pavol Bielik Martin Vechev AAML 188 94 0 11 Feb 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial PerturbationsInternational Conference on Machine Learning (ICML), 2020 Florian Tramèr Jens Behrmann Nicholas Carlini Nicolas Papernot J. Jacobsen AAML SILM 150 97 0 11 Feb 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks Tong Chen J. Lasserre Victor Magron Edouard Pauwels 155 3 0 10 Feb 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable RobustnessInternational Conference on Machine Learning (ICML), 2020 Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi 159 102 0 08 Feb 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsAnnual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2020 Yao Deng Xi Zheng Tianyi Zhang Chen Chen Guannan Lou Yang Wang AAML 141 160 0 06 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 85 7 0 03 Feb 2020
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities Isaac Dunn Laura Hanu Hadrien Pouget Daniel Kroening T. Melham AAML 164 4 0 29 Jan 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles Yilan Li Senem Velipasalar AAML 143 8 0 25 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 223 82 0 22 Jan 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 170 8 0 21 Jan 2020
Fast is better than free: Revisiting adversarial trainingInternational Conference on Learning Representations (ICLR), 2020 Eric Wong Leslie Rice J. Zico Kolter AAML OOD 709 1,287 0 12 Jan 2020
ReluDiff: Differential Verification of Deep Neural NetworksInternational Conference on Software Engineering (ICSE), 2020 Brandon Paulsen Jingbo Wang Chao Wang 265 59 0 10 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 95 0 0 10 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified RadiusInternational Conference on Learning Representations (ICLR), 2020 Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 494 188 0 08 Jan 2020