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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"

50 / 928 papers shown

Title
$β$ -Variational Classifiers Under Attack Marco Maggipinto M. Terzi Gian Antonio Susto AAML OOD 19 1 0 20 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 59 52 0 20 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning M. K. Yucel R. G. Cinbis P. D. Sahin VLM 68 7 0 17 Aug 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 77 17 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 33 4 0 04 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 55 35 0 03 Aug 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 108 247 0 30 Jul 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs N. Jha Sparsh Mittal Binod Kumar Govardhan Mattela AAML 66 13 0 30 Jul 2020
Attacking and Defending Machine Learning Applications of Public Cloud Dou Goodman Xin Hao SILM AAML 66 7 0 27 Jul 2020
Adversarial Privacy-preserving Filter Jiaming Zhang Jitao Sang Xian Zhao Xiaowen Huang Yanfeng Sun Yongli Hu PICV 81 42 0 25 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 73 3 0 20 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 74 18 0 17 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 91 144 0 14 Jul 2020
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 78 129 0 13 Jul 2020
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML 59 34 0 13 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 24 0 0 10 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 75 32 0 08 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 85 12 0 05 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 80 3 0 02 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 33 0 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 100 52 0 01 Jul 2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 77 126 0 30 Jun 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 45 11 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 126 205 0 25 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 140 26 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 85 45 0 24 Jun 2020
Bit Error Robustness for Energy-Efficient DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele MQ 52 1 0 24 Jun 2020
Adversarial Attacks for Multi-view Deep Models Xuli Sun Shiliang Sun AAML 29 0 0 19 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
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
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder Ao Zhang Jinwen Ma AAML GNN 88 21 0 16 Jun 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 66 6 0 15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks Sarada Krithivasan Sanchari Sen A. Raghunathan AAML 26 1 0 14 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 63 11 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 38 131 0 11 Jun 2020
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers Fangfang Yang Shaolei Ren AAML 44 16 0 10 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 73 8 0 09 Jun 2020
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection Omid Mohamad Nezami Akshay Chaturvedi Mark Dras Utpal Garain AAML ObjD 61 19 0 05 Jun 2020
Characterizing the Weight Space for Different Learning Models Saurav Musunuru Jay N. Paranjape R. Dubey V. Venkoparao AAML 16 0 0 04 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 44 2 0 02 Jun 2020
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba AAML 39 15 0 17 May 2020
Adversarial examples are useful too! Ali Borji SILM AAML 37 1 0 13 May 2020
Increased-confidence adversarial examples for deep learning counter-forensics Wenjie Li B. Tondi R. Ni Mauro Barni AAML 24 2 0 12 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang AAML 82 12 0 11 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 160 310 0 08 May 2020
Defending Hardware-based Malware Detectors against Adversarial Attacks Abraham Peedikayil Kuruvila Shamik Kundu K. Basu AAML 35 17 0 07 May 2020
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks Neil Fendley M. Lennon I-J. Wang Philippe Burlina Nathan G. Drenkow 15 7 0 01 May 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems Eric Wallace Mitchell Stern Basel Alomair AAML 109 123 0 30 Apr 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J. Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 87 90 0 29 Apr 2020