Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models Martin Kotuliak Sandro Schönborn Andrei Dan GAN AAML 14 1 0 19 May 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out Aishan Liu Jiakai Wang Xianglong Liu Bowen Cao Chongzhi Zhang Hang Yu AAML 16 5 0 19 May 2020
On Intrinsic Dataset Properties for Adversarial Machine Learning J. Z. Pan Nicholas Zufelt AAML 20 1 0 19 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 28 18 0 19 May 2020
Universalization of any adversarial attack using very few test examples Sandesh Kamath Amit Deshpande K. Subrahmanyam Vineeth N. Balasubramanian FedML AAML 6 1 0 18 May 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition S. Latif R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller 43 28 0 18 May 2020
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba AAML 20 15 0 17 May 2020
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 42 46 0 16 May 2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 17 29 0 15 May 2020
Initializing Perturbations in Multiple Directions for Fast Adversarial Training Xunguang Wang S. Xu E. Wang AAML 24 0 0 15 May 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 24 113 0 14 May 2020
Adversarial examples are useful too! Ali Borji SILM AAML 21 1 0 13 May 2020
Increased-confidence adversarial examples for deep learning counter-forensics Wenjie Li B. Tondi R. Ni Mauro Barni AAML 19 2 0 12 May 2020
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients Chengcheng Ma Baoyuan Wu Shibiao Xu Yanbo Fan Yong Zhang Xiaopeng Zhang Zhifeng Li AAML 21 9 0 12 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 23 111 0 11 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 43 8 0 10 May 2020
Projection & Probability-Driven Black-Box Attack Jie Li Rongrong Ji Hong Liu Jianzhuang Liu Bineng Zhong Cheng Deng Q. Tian AAML 27 49 0 08 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 46 298 0 08 May 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 21 47 0 06 May 2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder Guanlin Li Shuya Ding Jun Luo Chang-rui Liu AAML 60 19 0 06 May 2020
A Causal View on Robustness of Neural Networks Cheng Zhang Kun Zhang Yingzhen Li CML OOD 29 85 0 03 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 49 371 0 30 Apr 2020
Adversarial Fooling Beyond "Flipping the Label" Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu AAML 31 12 0 27 Apr 2020
Harnessing adversarial examples with a surprisingly simple defense Ali Borji AAML 6 0 0 26 Apr 2020
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model Yi Xie Zhuohang Li Cong Shi Jian-Dong Liu Yingying Chen Bo Yuan AAML 10 66 0 26 Apr 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 28 30 0 25 Apr 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 16 76 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 31 8 0 23 Apr 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation Marvin Klingner Andreas Bär Tim Fingscheidt AAML 35 40 0 23 Apr 2020
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks Sanchari Sen Balaraman Ravindran A. Raghunathan FedML AAML 20 63 0 21 Apr 2020
Games for Fairness and Interpretability Eric Chu Nabeel Gillani S. Makini FaML 20 4 0 20 Apr 2020
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples Julia Lust Alexandru Paul Condurache AAML 11 26 0 20 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Hongcai Xu J. Bao Gaojie Zhang 29 8 0 19 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 18 71 0 18 Apr 2020
Parallelization Techniques for Verifying Neural Networks Haoze Wu Alex Ozdemir Aleksandar Zeljić A. Irfan Kyle D. Julian D. Gopinath Sadjad Fouladi Guy Katz C. Păsăreanu Clark W. Barrett 35 59 0 17 Apr 2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space Dongyu Ru Yating Luo Lin Qiu Hao Zhou Mingxuan Wang Weinan Zhang Yong Yu Lei Li 22 28 0 17 Apr 2020
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming Haimin Hu Mahyar Fazlyab M. Morari George J. Pappas 6 76 0 16 Apr 2020
Targeted Attack for Deep Hashing based Retrieval Jiawang Bai Bin Chen Yiming Li Dongxian Wu Weiwei Guo Shutao Xia En-Hui Yang AAML 14 85 0 15 Apr 2020
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 22 13 0 15 Apr 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions Jon Vadillo Roberto Santana Jose A. Lozano AAML 20 0 0 14 Apr 2020
Towards Robust Classification with Image Quality Assessment Yeli Feng Yiyu Cai 19 0 0 14 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks Giacomo De Palma B. Kiani S. Lloyd AAML OOD 21 8 0 13 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 30 99 0 13 Apr 2020
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 19 155 0 13 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 20 41 0 11 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 31 2 0 10 Apr 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong-jia Jiang Zhifeng Li Shutao Xia LLMSV 11 148 0 09 Apr 2020
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems I. Tyukin D. Higham A. Gorban AAML 16 39 0 09 Apr 2020
Reciprocal Learning Networks for Human Trajectory Prediction Hao Sun Zhiqun Zhao Zhihai He 21 56 0 09 Apr 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 30 21 0 07 Apr 2020