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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

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Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 104 19 0 21 Nov 2020
Contextual Fusion For Adversarial Robustness Aiswarya Akumalla S. Haney M. Bazhenov AAML 31 1 0 18 Nov 2020
Adversarial Turing Patterns from Cellular Automata Nurislam Tursynbek I. Vilkoviskiy Maria Sindeeva Ivan Oseledets AAML 47 4 0 18 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 38 8 0 18 Nov 2020
Adversarially Robust Classification based on GLRT Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani VLM AAML 58 4 0 16 Nov 2020
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks Maungmaung Aprilpyone Hitoshi Kiya FedML 46 1 0 16 Nov 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations Jinyuan Jia Binghui Wang Xiaoyu Cao Hongbin Liu Neil Zhenqiang Gong 61 24 0 15 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 110 14 0 12 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
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 87 51 0 05 Nov 2020
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks Leo Schwinn An Nguyen René Raab Dario Zanca Bjoern M. Eskofier Daniel Tenbrinck Martin Burger AAML 59 9 0 05 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 74 14 0 04 Nov 2020
MAD-VAE: Manifold Awareness Defense Variational Autoencoder Frederick Morlock Dingsu Wang AAML DRL 48 2 0 31 Oct 2020
Integer Programming-based Error-Correcting Output Code Design for Robust Classification Samarth Gupta Saurabh Amin 21 4 0 30 Oct 2020
Machine Learning (In) Security: A Stream of Problems Fabrício Ceschin Marcus Botacin Albert Bifet Bernhard Pfahringer Luiz Eduardo Soares de Oliveira Heitor Murilo Gomes André Grégio AAML 96 31 0 30 Oct 2020
$Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations$ Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations Amit Daniely Hadas Shacham MLT 61 16 0 28 Oct 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 73 9 0 27 Oct 2020
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound S. Chhabra Akshay Agarwal Richa Singh Mayank Vatsa AAML 66 3 0 25 Oct 2020
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks Huimin Zeng Chen Zhu Tom Goldstein Furong Huang AAML 72 18 0 24 Oct 2020
ATRO: Adversarial Training with a Rejection Option Masahiro Kato Zhenghang Cui Yoshihiro Fukuhara AAML 49 11 0 24 Oct 2020
Stop Bugging Me! Evading Modern-Day Wiretapping Using Adversarial Perturbations Yael Mathov Tal Senior A. Shabtai Yuval Elovici 61 5 0 24 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 101 8 0 23 Oct 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 72 23 0 22 Oct 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming Sumanth Dathathri Krishnamurthy Dvijotham Alexey Kurakin Aditi Raghunathan J. Uesato ... Shreya Shankar Jacob Steinhardt Ian Goodfellow Percy Liang Pushmeet Kohli AAML 107 95 0 22 Oct 2020
An Efficient Adversarial Attack for Tree Ensembles Chong Zhang Huan Zhang Cho-Jui Hsieh AAML 43 23 0 22 Oct 2020
Class-Conditional Defense GAN Against End-to-End Speech Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 46 14 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
Towards Understanding the Dynamics of the First-Order Adversaries Zhun Deng Hangfeng He Jiaoyang Huang Weijie J. Su AAML 54 11 0 20 Oct 2020
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning Thomas Cilloni Wei Wang Charles Walter Charles Fleming PICV AAML 39 8 0 20 Oct 2020
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods Byungjoo Kim Bryce Chudomelka Jinyoung Park Jaewoo Kang Youngjoon Hong Hyunwoo J. Kim AAML 54 6 0 20 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 363 707 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders Elior Nehemya Yael Mathov A. Shabtai Yuval Elovici AIFin AAML 25 4 0 19 Oct 2020
FADER: Fast Adversarial Example Rejection Francesco Crecchi Marco Melis Angelo Sotgiu D. Bacciu Battista Biggio AAML 59 15 0 18 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 86 23 0 17 Oct 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 63 7 0 17 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
Adversarial Images through Stega Glasses Benoît Bonnet Teddy Furon Patrick Bas GAN AAML 15 1 0 15 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality Matthew L. Leavitt Ari S. Morcos AAML 62 2 0 14 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks He Zhao Thanh-Tuan Nguyen Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 52 2 0 13 Oct 2020
Improve Adversarial Robustness via Weight Penalization on Classification Layer Cong Xu Dan Li Min Yang AAML 24 4 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 75 331 0 07 Oct 2020
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models A. Salem Yannick Sautter Michael Backes Mathias Humbert Yang Zhang AAML SILM AI4CE 59 40 0 06 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang SILM 78 57 0 06 Oct 2020
Constraining Logits by Bounded Function for Adversarial Robustness Sekitoshi Kanai Masanori Yamada Shin'ya Yamaguchi Hiroshi Takahashi Yasutoshi Ida AAML 33 4 0 06 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
Understanding Catastrophic Overfitting in Single-step Adversarial Training Hoki Kim Woojin Lee Jaewook Lee AAML 134 112 0 05 Oct 2020