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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018

Papers citing "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"

50 / 1,929 papers shown

Title
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 85 45 0 24 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 77 10 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 105 101 0 23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 145 25 0 22 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 72 173 0 21 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 90 24 0 18 Jun 2020
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari Anish Madan Saket Anand Subhashis Banerjee AAML 39 1 0 18 Jun 2020
Classifier-independent Lower-Bounds for Adversarial Robustness Elvis Dohmatob 59 1 0 17 Jun 2020
Adversarial Defense by Latent Style Transformations Shuo Wang Surya Nepal A. Abuadbba Carsten Rudolph M. Grobler AAML 36 11 0 17 Jun 2020
AdvMind: Inferring Adversary Intent of Black-Box Attacks Ren Pang Xinyang Zhang S. Ji Xiapu Luo Ting Wang MLAU AAML 64 30 0 16 Jun 2020
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs Peijie Chen Chirag Agarwal Anh Totti Nguyen AAML 89 18 0 16 Jun 2020
Certifying Strategyproof Auction Networks Michael J. Curry Ping Yeh-Chiang Tom Goldstein John P. Dickerson 51 28 0 15 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 99 32 0 15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 134 82 0 15 Jun 2020
On the transferability of adversarial examples between convex and 01 loss models Yunzhe Xue Meiyan Xie Usman Roshan AAML 27 7 0 14 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 76 364 0 13 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Guohao Li OOD 45 0 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 96 251 0 13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 50 8 0 13 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks Kathrin Grosse Taesung Lee Battista Biggio Youngja Park Michael Backes Ian Molloy AAML 51 10 0 11 Jun 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors Gerda Bortsova C. González-Gonzalo S. Wetstein Florian Dubost Ioannis Katramados ... Bram van Ginneken J. Pluim M. Veta Clara I. Sánchez Marleen de Bruijne AAML MedIm 47 131 0 11 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 133 501 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features Krishna Kanth Nakka Mathieu Salzmann AAML 41 6 0 10 Jun 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 107 56 0 09 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 91 262 0 08 Jun 2020
Adversarial Feature Desensitization P. Bashivan Reza Bayat Adam Ibrahim Kartik Ahuja Mojtaba Faramarzi Touraj Laleh Blake A. Richards Irina Rish AAML 50 21 0 08 Jun 2020
Tricking Adversarial Attacks To Fail Blerta Lindqvist AAML 48 0 0 08 Jun 2020
Extensions and limitations of randomized smoothing for robustness guarantees Jamie Hayes AAML 62 21 0 07 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong Jinwoo Shin AAML 86 88 0 07 Jun 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S. Melacci Gabriele Ciravegna Angelo Sotgiu Ambra Demontis Battista Biggio Marco Gori Fabio Roli 88 15 0 06 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 78 50 0 04 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 69 3 0 01 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 74 60 0 01 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 51 2 0 30 May 2020
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques Han Qiu Yi Zeng Qinkai Zheng Tianwei Zhang Meikang Qiu G. Memmi AAML 69 14 0 27 May 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitch Hill Jonathan Mitchell Song-Chun Zhu AAML 92 72 0 27 May 2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries M. Seiler Heike Trautmann P. Kerschke AAML 24 0 0 27 May 2020
Adaptive Adversarial Logits Pairing Shangxi Wu Jitao Sang Kaiyan Xu Guanhua Zheng Changsheng Xu AAML 31 3 0 25 May 2020
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Hakmin Lee Hong Joo Lee S. T. Kim Yong Man Ro FedML OOD AAML 53 10 0 21 May 2020
Revisiting Role of Autoencoders in Adversarial Settings Byeong Cheon Kim Jung Uk Kim Hakmin Lee Yong Man Ro AAML 18 4 0 21 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 122 151 0 20 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 103 43 0 20 May 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling Chizhou Liu Yunzhen Feng Ranran Wang Bin Dong AAML 80 12 0 19 May 2020
Spatiotemporal Attacks for Embodied Agents Aishan Liu Tairan Huang Xianglong Liu Yitao Xu Yuqing Ma Xinyun Chen Stephen J. Maybank Dacheng Tao AAML 14 0 0 19 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 143 19 0 19 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 75 29 0 17 May 2020
Encryption Inspired Adversarial Defense for Visual Classification Maungmaung Aprilpyone Hitoshi Kiya 56 32 0 16 May 2020
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness Tianhang Zheng Di Wang Baochun Li Jinhui Xu AAML 26 0 0 15 May 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng Sheng Liu Changyou Chen Junsong Yuan Baochun Li K. Ren AAML 83 17 0 14 May 2020