Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 32 128 0 13 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 38 37 0 13 Jul 2020
Improved Detection of Adversarial Images Using Deep Neural Networks Yutong Gao Yi-Lun Pan AAML 18 3 0 10 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 8 0 0 10 Jul 2020
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels Amirmasoud Ghiassi Robert Birke Rui Han L. Chen NoLa 21 2 0 10 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 18 37 0 09 Jul 2020
Efficient detection of adversarial images Darpan Kumar Yadav Kartik Mundra Rahul Modpur Arpan Chattopadhyay I. Kar AAML 22 1 0 09 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 27 57 0 08 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 22 32 0 08 Jul 2020
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 26 285 0 06 Jul 2020
On Connections between Regularizations for Improving DNN Robustness Yiwen Guo Long Chen Yurong Chen Changshui Zhang AAML 27 14 0 04 Jul 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie Lei Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 17 3 0 02 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 31 131 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 38 51 0 01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications Eric Wong Tim Schneider Joerg Schmitt Frank R. Schmidt J. Zico Kolter AAML 40 8 0 30 Jun 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai Yizhou Chen K. H. Low Patrick Jaillet Teck-Hua Ho 22 26 0 30 Jun 2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 13 120 0 30 Jun 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Yunfei Song Tian Liu Tongquan Wei Xiangfeng Wang Zhe Tao Mingsong Chen 22 48 0 28 Jun 2020
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang Jacky Y. Zhang Wei Ping Zhuolin Yang Oluwasanmi Koyejo Yangqiu Song AAML 41 25 0 25 Jun 2020
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 23 42 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 28 10 0 24 Jun 2020
Defending against adversarial attacks on medical imaging AI system, classification or detection? X. Li Deng Pan D. Zhu AAML MedIm 16 26 0 24 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 25 163 0 21 Jun 2020
Towards an Adversarially Robust Normalization Approach Muhammad Awais Fahad Shamshad Sung-Ho Bae AAML OOD 52 19 0 19 Jun 2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning Antonios Alexos Konstantinos P. Panousis S. Chatzis OOD AAML 14 3 0 18 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 22 16 0 17 Jun 2020
AdvMind: Inferring Adversary Intent of Black-Box Attacks Ren Pang Xinyang Zhang S. Ji Xiapu Luo Ting Wang MLAU AAML 11 29 0 16 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 19 37 0 13 Jun 2020
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces Chaofei Yang Lei Ding Yiran Chen H. Li AAML 27 46 0 12 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 22 2 0 12 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 35 489 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features K. K. Nakka Mathieu Salzmann AAML 25 6 0 10 Jun 2020
Towards an Intrinsic Definition of Robustness for a Classifier Théo Giraudon Vincent Gripon Matthias Löwe Franck Vermet OOD AAML 14 2 0 09 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 24 251 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 19 21 0 08 Jun 2020
Tricking Adversarial Attacks To Fail Blerta Lindqvist AAML 16 0 0 08 Jun 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit Wangchunshu Zhou Canwen Xu Tao Ge Julian McAuley Ke Xu Furu Wei 17 334 0 07 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing Vishaal Krishnan Abed AlRahman Al Makdah Fabio Pasqualetti OOD AAML 20 23 0 05 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 32 50 0 04 Jun 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty T. Jayashankar Jonathan Le Roux P. Moulin AAML 11 17 0 02 Jun 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape R. Dubey Vijendran V. Gopalan AAML 31 2 0 02 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 19 3 0 01 Jun 2020
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity Nam Ho-Nguyen Stephen J. Wright OOD 52 16 0 28 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 34 14 0 27 May 2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries M. Seiler Heike Trautmann P. Kerschke AAML 16 0 0 27 May 2020
Adaptive Adversarial Logits Pairing Shangxi Wu Jitao Sang Kaiyan Xu Guanhua Zheng Changsheng Xu AAML 22 3 0 25 May 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 23 7 0 21 May 2020
On Intrinsic Dataset Properties for Adversarial Machine Learning J. Z. Pan Nicholas Zufelt AAML 28 1 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 6 0 0 19 May 2020
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba AAML 20 15 0 17 May 2020