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Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

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Title
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 84 3 0 08 Dec 2019
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks P. Dasgupta J. B. Collins AAML 46 43 0 04 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 112 146 0 02 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 38 10 0 01 Dec 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks Krishna Kanth Nakka Mathieu Salzmann SSeg AAML 61 31 0 29 Nov 2019
SpoC: Spoofing Camera Fingerprints D. Cozzolino Justus Thies Andreas Rossler Matthias Nießner L. Verdoliva 85 39 0 27 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 128 1,129 0 26 Nov 2019
ColorFool: Semantic Adversarial Colorization Ali Shahin Shamsabadi Ricardo Sánchez-Matilla Andrea Cavallaro AAML 103 122 0 25 Nov 2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 72 81 0 22 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 79 70 0 21 Nov 2019
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 78 39 0 21 Nov 2019
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 46 3 0 19 Nov 2019
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling Jing Li P. Le Callet AAML FedML 49 30 0 18 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 53 2 0 17 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 77 119 0 17 Nov 2019
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon WIGM AAML 47 7 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
Imperceptible Adversarial Attacks on Tabular Data Vincent Ballet X. Renard Jonathan Aigrain Thibault Laugel P. Frossard Marcin Detyniecki 102 76 0 08 Nov 2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems Xu Li Jinghua Zhong Xixin Wu Jianwei Yu Xunying Liu Helen Meng AAML 74 79 0 08 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 95 70 0 06 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 116 149 0 06 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 61 34 0 05 Nov 2019
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors Jiazhu Dai Le Shu AAML 50 3 0 04 Nov 2019
Beyond Universal Person Re-ID Attack Wenjie Ding Xing Wei Rongrong Ji Xiaopeng Hong Qi Tian Yihong Gong AAML 64 7 0 30 Oct 2019
Detection of Adversarial Attacks and Characterization of Adversarial Subspace Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 54 17 0 26 Oct 2019
Adversarial Example Detection by Classification for Deep Speech Recognition Saeid Samizade Zheng-Hua Tan Chao Shen X. Guan AAML 79 35 0 22 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 70 2 0 22 Oct 2019
Exploring Simple and Transferable Recognition-Aware Image Processing Zhuang Liu H. Wang Tinghui Zhou Zhiqiang Shen Bingyi Kang Evan Shelhamer Trevor Darrell 68 9 0 21 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 120 103 0 16 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 89 5 0 14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 34 35 0 14 Oct 2019
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing Rizhao Cai Changsheng Chen AAML CVBM 54 12 0 09 Oct 2019
Adversarial Learning of Deepfakes in Accounting Marco Schreyer Timur Sattarov Bernd Reimer Damian Borth AAML 58 26 0 09 Oct 2019
BUZz: BUffer Zones for defending adversarial examples in image classification Kaleel Mahmood Phuong Ha Nguyen Lam M. Nguyen THANH VAN NGUYEN Marten van Dijk AAML 62 6 0 03 Oct 2019
Sampling Unknown Decision Functions to Build Classifier Copies Irene Unceta Diego Palacios Jordi Nin O. Pujol 39 8 0 01 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 68 31 0 30 Sep 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 94 26 0 30 Sep 2019
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems Utku Kose SILM AAML 29 2 0 29 Sep 2019
Deep k-NN Defense against Clean-label Data Poisoning Attacks Neehar Peri Neal Gupta Wenjie Huang Liam H. Fowl Chen Zhu Soheil Feizi Tom Goldstein John P. Dickerson AAML 59 6 0 29 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 70 94 0 26 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 106 398 0 23 Sep 2019
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 119 40 0 23 Sep 2019
Robust Local Features for Improving the Generalization of Adversarial Training Chuanbiao Song Kun He Jiadong Lin Liwei Wang John E. Hopcroft OOD AAML 75 70 0 23 Sep 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 87 17 0 17 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition Jian Liu Naveed Akhtar Ajmal Mian AAML 67 68 0 14 Sep 2019
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders Pratik Vaishnavi Kevin Eykholt A. Prakash Amir Rahmati AAML 46 2 0 12 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 110 199 0 11 Sep 2019
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification Eitan Rothberg Tingting Chen Luo Jie Hao Ji AAML 23 0 0 10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection Byunggill Joe Sung Ju Hwang I. Shin AAML 35 1 0 10 Sep 2019
STA: Adversarial Attacks on Siamese Trackers Xugang Wu Xiaoping Wang Xu Zhou Songlei Jian GAN AAML 41 6 0 08 Sep 2019