Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,710 papers shown

Title
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 32 54 0 26 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 31 60 0 25 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 30 445 0 24 Jul 2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Qian Huang Isay Katsman Horace He Zeqi Gu Serge J. Belongie Ser-Nam Lim SILM AAML 8 240 0 23 Jul 2019
Open DNN Box by Power Side-Channel Attack Yun Xiang Zhuangzhi Chen Zuohui Chen Zebin Fang Haiyang Hao Jinyin Chen Yi Liu Zhefu Wu Qi Xuan Xiaoniu Yang AAML 20 88 0 21 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 27 11 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 106 1,428 0 16 Jul 2019
Recovery Guarantees for Compressible Signals with Adversarial Noise J. Dhaliwal Kyle Hambrook AAML 24 2 0 15 Jul 2019
Measuring the Transferability of Adversarial Examples D. Petrov Timothy M. Hospedales SILM AAML 20 23 0 14 Jul 2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Yulong Cao Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Mingyan D. Liu Bo-wen Li 3DPC AAML 14 140 0 11 Jul 2019
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn Ziv Katzir Yuval Elovici AAML 12 3 0 11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 41 126 0 09 Jul 2019
Affine Disentangled GAN for Interpretable and Robust AV Perception Letao Liu Martin Saerbeck Justin Dauwels 20 1 0 06 Jul 2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin Nicholas Frosst S. Sabour Colin Raffel G. Cottrell Geoffrey E. Hinton GAN AAML 19 71 0 05 Jul 2019
Machine learning and behavioral economics for personalized choice architecture Emir Hrnjic N. Tomczak CML AI4CE 16 8 0 03 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 43 475 0 03 Jul 2019
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior Thomas Gittings Steve A. Schneider John Collomosse AAML 19 10 0 03 Jul 2019
Accurate, reliable and fast robustness evaluation Wieland Brendel Jonas Rauber Matthias Kümmerer Ivan Ustyuzhaninov Matthias Bethge AAML OOD 13 113 0 01 Jul 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary S. Sarkar AAML 38 5 0 28 Jun 2019
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 12 2 0 27 Jun 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 24 36 0 27 Jun 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 28 42 0 26 Jun 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 29 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 20 10 0 25 Jun 2019
Explaining Deep Learning Models with Constrained Adversarial Examples J. Moore Nils Y. Hammerla C. Watkins AAML GAN 11 38 0 25 Jun 2019
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution Joel Lehman 14 7 0 24 Jun 2019
Adversarial Examples to Fool Iris Recognition Systems Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi GAN AAML 24 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 26 38 0 21 Jun 2019
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 19 166 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 24 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 29 19 0 18 Jun 2019
Adversarial attacks on Copyright Detection Systems Parsa Saadatpanah Ali Shafahi Tom Goldstein AAML 14 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 22 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 34 271 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 30 99 0 16 Jun 2019
Defending Against Adversarial Attacks Using Random Forests Yifan Ding Liqiang Wang Huan Zhang Jinfeng Yi Deliang Fan Boqing Gong AAML 21 14 0 16 Jun 2019
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences Shashank Kotyan Danilo Vasconcellos Vargas Moe Matsuki 4 0 0 15 Jun 2019
Perceptual Based Adversarial Audio Attacks Joseph Szurley J. Zico Kolter AAML 24 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 9 8 0 14 Jun 2019
Mimic and Fool: A Task Agnostic Adversarial Attack Akshay Chaturvedi Utpal Garain AAML 16 26 0 11 Jun 2019
Attacking Graph Convolutional Networks via Rewiring Yao Ma Suhang Wang Tyler Derr Lingfei Wu Jiliang Tang AAML GNN 27 84 0 10 Jun 2019
Improved Adversarial Robustness via Logit Regularization Methods Cecilia Summers M. Dinneen AAML 34 7 0 10 Jun 2019
Novelty Detection via Network Saliency in Visual-based Deep Learning Valerie Chen Man-Ki Yoon Zhong Shao 17 3 0 09 Jun 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Thanh-Binh Tran Renee Sweeney Kyumin Lee 36 32 0 08 Jun 2019
Defending Against Universal Attacks Through Selective Feature Regeneration Tejas S. Borkar Felix Heide Lina Karam AAML 23 1 0 08 Jun 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 22 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 34 42 0 07 Jun 2019
Robust Attacks against Multiple Classifiers Juan C. Perdomo Yaron Singer AAML 18 10 0 06 Jun 2019
Stochasticity and Robustness in Spiking Neural Networks W. Olin-Ammentorp K. Beckmann Catherine D. Schuman J. Plank N. Cady 27 12 0 06 Jun 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 18 2 0 05 Jun 2019