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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno Basel Alomair AAML 107 473 0 20 Jul 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 62 23 0 18 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 107 229 0 18 Jul 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions Adnan Siraj Rakin Jinfeng Yi Boqing Gong Deliang Fan AAML MQ 80 50 0 18 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 115 44 0 16 Jul 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 59 5 0 16 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing Dongdong She Kexin Pei Dave Epstein Junfeng Yang Baishakhi Ray Suman Jana 81 186 0 15 Jul 2018
Deep Learning in the Wild Thilo Stadelmann Mohammadreza Amirian Ismail Arabaci M. Arnold G. Duivesteijn ... Melanie Geiger Stefan Lörwald B. Meier Katharina Rombach Lukas Tuggener 67 42 0 13 Jul 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 112 348 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 116 70 0 11 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 201 2,078 0 10 Jul 2018
Attack and defence in cellular decision-making: lessons from machine learning Thomas J. Rademaker Emmanuel Bengio P. Franccois AAML 51 4 0 10 Jul 2018
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees Min Wu Matthew Wicker Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 91 111 0 10 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 73 23 0 09 Jul 2018
Efficient ConvNets for Analog Arrays Malte J. Rasch Tayfun Gokmen Mattia Rigotti W. Haensch 59 11 0 03 Jul 2018
Local Gradients Smoothing: Defense against localized adversarial attacks Muzammal Naseer Salman H. Khan Fatih Porikli AAML 106 162 0 03 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 91 463 0 03 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 158 1,943 0 02 Jul 2018
Adversarial Perturbations Against Real-Time Video Classification Systems Shasha Li Ajaya Neupane S. Paul Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 93 121 0 02 Jul 2018
Stochastic model-based minimization under high-order growth Damek Davis Dmitriy Drusvyatskiy Kellie J. MacPhee 151 31 0 01 Jul 2018
Adversarial Examples in Deep Learning: Characterization and Divergence Wenqi Wei Ling Liu Margaret Loper Stacey Truex Lei Yu Mehmet Emre Gursoy Yanzhao Wu AAML SILM 119 18 0 29 Jun 2018
A New Angle on L2 Regularization T. Tanay Lewis D. Griffin LLMSV 50 5 0 28 Jun 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 55 184 0 28 Jun 2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning J. Dhaliwal S. Shintre AAML 49 15 0 27 Jun 2018
On Adversarial Examples for Character-Level Neural Machine Translation J. Ebrahimi Daniel Lowd Dejing Dou AAML 94 223 0 23 Jun 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 172 1,463 0 22 Jun 2018
Detection based Defense against Adversarial Examples from the Steganalysis Point of View Jiayang Liu Weiming Zhang Yiwei Zhang Dongdong Hou Yujia Liu Hongyue Zha Nenghai Yu AAML 101 100 0 21 Jun 2018
Gradient Adversarial Training of Neural Networks Ayan Sinha Zhao Chen Vijay Badrinarayanan Andrew Rabinovich AAML 70 33 0 21 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 140 948 0 20 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning Zecheng He Aswin Raghavan Guangyuan Hu S. Chai Ruby B. Lee 45 4 0 18 Jun 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 66 41 0 15 Jun 2018
DeepLaser: Practical Fault Attack on Deep Neural Networks J. Breier Xiaolu Hou Dirmanto Jap Lei Ma S. Bhasin Yang Liu AAML AI4CE 80 19 0 15 Jun 2018
Hardware Trojan Attacks on Neural Networks Joseph Clements Yingjie Lao AAML 78 89 0 14 Jun 2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 86 175 0 14 Jun 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 84 146 0 14 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 111 35 0 13 Jun 2018
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus William Fleshman Edward Raff Richard Zak Mark McLean Charles K. Nicholas AAML 49 34 0 12 Jun 2018
Adversarial Attacks on Variational Autoencoders George Gondim-Ribeiro Pedro Tabacof Eduardo Valle AAML DRL 78 44 0 12 Jun 2018
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks Clemens Seibold Wojciech Samek Anna Hilsmann Peter Eisert AAML CVBM 83 30 0 11 Jun 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 95 42 0 08 Jun 2018
Training Augmentation with Adversarial Examples for Robust Speech Recognition Sining Sun Ching-Feng Yeh Mari Ostendorf M. Hwang Lei Xie AAML 82 63 0 07 Jun 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 118 780 0 06 Jun 2018
Towards Dependability Metrics for Neural Networks Chih-Hong Cheng Georg Nührenberg Chung-Hao Huang Harald Ruess Hirotoshi Yasuoka 85 44 0 06 Jun 2018
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 72 293 0 05 Jun 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 201 1,008 0 05 Jun 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 171 955 0 04 Jun 2018
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis Shuhei Kurita Daisuke Kawahara Sadao Kurohashi 37 12 0 04 Jun 2018
Detecting Adversarial Examples via Key-based Network Pinlong Zhao Zhouyu Fu Ou Wu Q. Hu Jun Wang AAML GAN 59 8 0 02 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 88 41 0 31 May 2018