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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
On the Limitations of Denoising Strategies as Adversarial Defenses Zhonghan Niu Zhaoxi Chen Linyi Li Yubin Yang Yue Liu Jinfeng Yi AAML 74 14 0 17 Dec 2020
FoggySight: A Scheme for Facial Lookup Privacy Ivan Evtimov Pascal Sturmfels Tadayoshi Kohno PICV FedML 76 24 0 15 Dec 2020
Adaptive Verifiable Training Using Pairwise Class Similarity Shiqi Wang Kevin Eykholt Taesung Lee Jiyong Jang Ian Molloy OOD 33 1 0 14 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 37 0 0 10 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 82 116 0 07 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 57 0 0 07 Dec 2020
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks Giuseppe Ughi V. Abrol Jared Tanner AAML 65 13 0 03 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer Heng Yin Hengwei Zhang Jin-dong Wang Ruiyu Dou AAML 76 8 0 01 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack Ian Ryu Jun-Hyuk Kim Jun-Ho Choi Jong-Seok Lee AAML 97 17 0 30 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 70 5 0 27 Nov 2020
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks Mingfu Xue Chengxiang Yuan Can He Zhiyu Wu Yushu Zhang Zhe Liu Weiqiang Liu MIACV 16 12 0 27 Nov 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption Ivan Evtimov Russ Howes Brian Dolhansky Hamed Firooz Cristian Canton Ferrer AAML 46 10 0 25 Nov 2020
Learnable Boundary Guided Adversarial Training Jiequan Cui Shu Liu Liwei Wang Jiaya Jia OOD AAML 113 132 0 23 Nov 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 61 85 0 19 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 36 7 0 18 Nov 2020
On the Transferability of Adversarial Attacksagainst Neural Text Classifier Liping Yuan Xiaoqing Zheng Yi Zhou Cho-Jui Hsieh Kai-Wei Chang SILM AAML 71 26 0 17 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 110 14 0 12 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation Li-xin Yuan Will Xiao Giorgia Dellaferrera Gabriel Kreiman Francis E. H. Tay Jiashi Feng Margaret Livingstone AAML 38 1 0 11 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 151 11 0 10 Nov 2020
Risk Assessment for Machine Learning Models Paul Schwerdtner Florens Greßner Nikhil Kapoor F. Assion René Sass W. Günther Fabian Hüger Peter Schlicht 38 6 0 09 Nov 2020
Bridging the Performance Gap between FGSM and PGD Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 46 20 0 07 Nov 2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries R. Sahay Christopher G. Brinton David J. Love AAML 61 9 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 60 1 0 02 Nov 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks Hang Zhou Dongdong Chen Jing Liao Weiming Zhang Kejiang Chen Xiaoyi Dong Kunlin Liu G. Hua Nenghai Yu 3DPC 122 103 0 01 Nov 2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection Yongwei Wang Xin Ding Li Ding Rabab Ward Z. J. Wang AAML 41 21 0 29 Oct 2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification Arslan Ali A. Migliorati T. Bianchi E. Magli AAML OOD OODD 26 1 0 29 Oct 2020
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning Ibrahim Yilmaz Ambareen Siraj AAML 42 21 0 23 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie Yang AAML 80 8 0 23 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 21 0 0 22 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng Yang Yangzhou Jiang Xiaoyang Huang Bingbing Ni Chenglong Zhao AAML 135 82 0 21 Oct 2020
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning Thomas Cilloni Wei Wang Charles Walter Charles Fleming PICV AAML 37 8 0 20 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 95 23 0 15 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 42 6 0 14 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 143 96 0 08 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 73 331 0 07 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong Yigitcan Kaya Ionut-Vlad Modoranu Tudor Dumitras AAML 83 73 0 06 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search Zhichao Huang Yaowei Huang Tong Zhang AAML 64 8 0 03 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 56 5 0 02 Oct 2020
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training Shunsuke Kitada Hitoshi Iyatomi OOD AAML 49 26 0 25 Sep 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 72 58 0 24 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 73 11 0 21 Sep 2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles Xiaoyong Yuan Lei Ding Lan Zhang Xiaolin Li D. Wu 54 42 0 21 Sep 2020
Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks Chen Ma Shuyu Cheng Li Chen Jun Zhu Junhai Yong AAML 50 7 0 15 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 78 13 0 15 Sep 2020
A black-box adversarial attack for poisoning clustering Antonio Emanuele Cinà Alessandro Torcinovich Marcello Pelillo AAML 121 41 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 162 0 08 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 100 222 0 04 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks Chi Liu Tianqing Zhu Jun Zhang Wanlei Zhou PICV 81 31 0 27 Aug 2020
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning Yinghua Zhang Yangqiu Song Jian Liang Kun Bai Qiang Yang AAML 79 28 0 25 Aug 2020