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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 41 5 0 26 Jun 2019
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection Kang Liu Haoyu Yang Yuzhe Ma Benjamin Tan Bei Yu Evangeline F. Y. Young Ramesh Karri S. Garg AAML 41 10 0 25 Jun 2019
Explaining Deep Learning Models with Constrained Adversarial Examples J. Moore Nils Y. Hammerla C. Watkins AAML GAN 67 38 0 25 Jun 2019
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution Joel Lehman 70 7 0 24 Jun 2019
Adversarial Examples to Fool Iris Recognition Systems Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi GAN AAML 78 16 0 21 Jun 2019
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations Yuezun Li Xin Yang Baoyuan Wu Siwei Lyu AAML PICV CVBM 95 38 0 21 Jun 2019
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 92 171 0 20 Jun 2019
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon MIACV 51 2 0 19 Jun 2019
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services Alex Cummaudo Rajesh Vasa J. Grundy Mohamed Abdelrazek A. Cain 78 19 0 18 Jun 2019
Adversarial attacks on Copyright Detection Systems Parsa Saadatpanah Ali Shafahi Tom Goldstein AAML 64 33 0 17 Jun 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks F. Assion Peter Schlicht Florens Greßner W. Günther Fabian Hüger Nico M. Schmidt Umair Rasheed AAML 75 14 0 17 Jun 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior Shuyu Cheng Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 94 274 0 17 Jun 2019
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy Alex Lamb Vikas Verma Kenji Kawaguchi Alexander Matyasko Savya Khosla Arno Solin Yoshua Bengio AAML 74 100 0 16 Jun 2019
Defending Against Adversarial Attacks Using Random Forests Yifan Ding Liqiang Wang Huan Zhang Jinfeng Yi Deliang Fan Boqing Gong AAML 64 14 0 16 Jun 2019
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences Shashank Kotyan Danilo Vasconcellos Vargas Moe Matsuki 39 0 0 15 Jun 2019
Perceptual Based Adversarial Audio Attacks Joseph Szurley J. Zico Kolter AAML 47 25 0 14 Jun 2019
$Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary$ Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary Shashank Kotyan Danilo Vasconcellos Vargas AAML 34 8 0 14 Jun 2019
Mimic and Fool: A Task Agnostic Adversarial Attack Akshay Chaturvedi Utpal Garain AAML 57 27 0 11 Jun 2019
Attacking Graph Convolutional Networks via Rewiring Yao Ma Suhang Wang Tyler Derr Lingfei Wu Jiliang Tang AAML GNN 64 84 0 10 Jun 2019
Improved Adversarial Robustness via Logit Regularization Methods Cecilia Summers M. Dinneen AAML 59 7 0 10 Jun 2019
Novelty Detection via Network Saliency in Visual-based Deep Learning Valerie Chen Man-Ki Yoon Zhong Shao 36 3 0 09 Jun 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Thanh-Binh Tran Renee Sweeney Kyumin Lee 70 32 0 08 Jun 2019
Defending Against Universal Attacks Through Selective Feature Regeneration Tejas S. Borkar Felix Heide Lina Karam AAML 39 1 0 08 Jun 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 49 8 0 08 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and Defense Yao-Yuan Yang Cyrus Rashtchian Yizhen Wang Kamalika Chaudhuri SILM AAML 92 43 0 07 Jun 2019
Robust Attacks against Multiple Classifiers Juan C. Perdomo Yaron Singer AAML 56 11 0 06 Jun 2019
Stochasticity and Robustness in Spiking Neural Networks W. Olin-Ammentorp K. Beckmann Catherine D. Schuman J. Plank N. Cady 61 13 0 06 Jun 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 41 2 0 05 Jun 2019
Adversarial Training is a Form of Data-dependent Operator Norm Regularization Kevin Roth Yannic Kilcher Thomas Hofmann 58 13 0 04 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 56 2 0 04 Jun 2019
A Surprising Density of Illusionable Natural Speech M. Guan Gregory Valiant AAML 37 3 0 03 Jun 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness Nhathai Phan Minh Nhat Vu Yang Liu R. Jin Dejing Dou Xintao Wu My T. Thai AAML 64 51 0 02 Jun 2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer Christian Cosgrove Alan Yuille AAML GAN 51 12 0 02 Jun 2019
Enhancing Transformation-based Defenses using a Distribution Classifier C. Kou H. Lee E. Chang Teck Khim Ng 67 3 0 01 Jun 2019
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification Sid Ahmed Fezza Yassine Bakhti W. Hamidouche Olivier Déforges AAML 57 32 0 01 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness A. Malinin Mark Gales UQCV AAML 95 177 0 31 May 2019
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization Kai Rothauge Z. Yao Zixi Hu Michael W. Mahoney 51 2 0 31 May 2019
Interpretable Adversarial Training for Text Samuel Barham Soheil Feizi AAML 55 17 0 30 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 94 191 0 29 May 2019
CopyCAT: Taking Control of Neural Policies with Constant Attacks Léonard Hussenot Matthieu Geist Olivier Pietquin AAML 42 31 0 29 May 2019
An Investigation of Data Poisoning Defenses for Online Learning Yizhen Wang Somesh Jha Kamalika Chaudhuri AAML 37 5 0 28 May 2019
Certifiably Robust Interpretation in Deep Learning Alexander Levine Sahil Singla Soheil Feizi FAtt AAML 93 65 0 28 May 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 87 526 0 28 May 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss Pengcheng Li Jinfeng Yi Bowen Zhou Lijun Zhang AAML 65 37 0 28 May 2019
Label Universal Targeted Attack Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 67 5 0 27 May 2019
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification Xuwang Yin Soheil Kolouri Gustavo K. Rohde AAML 106 44 0 27 May 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 101 79 0 27 May 2019
$Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$$ Provable robustness against all adversarial $l_p$ -perturbations for $p\geq 1$ Francesco Croce Matthias Hein OOD 78 75 0 27 May 2019
Non-Determinism in Neural Networks for Adversarial Robustness Daanish Ali Khan Linhong Li Ninghao Sha Zhuoran Liu Abelino Jiménez Bhiksha Raj Rita Singh OOD AAML 33 3 0 26 May 2019
Rearchitecting Classification Frameworks For Increased Robustness Varun Chandrasekaran Brian Tang Nicolas Papernot Kassem Fawaz S. Jha Xi Wu AAML OOD 100 8 0 26 May 2019