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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
AdvHat: Real-world adversarial attack on ArcFace Face ID system Stepan Alekseevich Komkov Aleksandr Petiushko AAML CVBM 69 288 0 23 Aug 2019
Saliency Methods for Explaining Adversarial Attacks Jindong Gu Volker Tresp FAtt AAML 71 30 0 22 Aug 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu AAML 56 15 0 21 Aug 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 74 306 0 19 Aug 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries Fnu Suya Jianfeng Chi David Evans Yuan Tian AAML 105 86 0 19 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 64 8 0 19 Aug 2019
On the Robustness of Human Pose Estimation Sahil Shah Naman Jain Abhishek Sharma Arjun Jain AAML OOD 69 20 0 18 Aug 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 64 182 0 17 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 149 576 0 17 Aug 2019
Adversarial shape perturbations on 3D point clouds Daniel Liu Ronald Yu Hao Su 3DPC 80 12 0 16 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Jiangfan Han Xiaoyi Dong Ruimao Zhang Dongdong Chen Weiming Zhang Nenghai Yu Ping Luo Xiaogang Wang AAML 73 29 0 14 Aug 2019
Uncheatable Machine Learning Inference Mustafa Canim A. Kundu Josh Payne 40 1 0 08 Aug 2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi AAML 53 9 0 08 Aug 2019
Universal Adversarial Audio Perturbations Sajjad Abdoli L. G. Hafemann Jérôme Rony Ismail Ben Ayed P. Cardinal Alessandro Lameiras Koerich AAML 93 52 0 08 Aug 2019
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 67 170 0 07 Aug 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks Jörg Wagner Jan M. Köhler Tobias Gindele Leon Hetzel Thaddäus Wiedemer Sven Behnke AAML FAtt 137 122 0 07 Aug 2019
BlurNet: Defense by Filtering the Feature Maps Ravi Raju Mikko H. Lipasti AAML 69 16 0 06 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 55 17 0 06 Aug 2019
Random Directional Attack for Fooling Deep Neural Networks Wenjian Luo Chenwang Wu Nan Zhou Li Ni AAML 24 4 0 06 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 54 3 0 05 Aug 2019
Adversarial Self-Defense for Cycle-Consistent GANs D. Bashkirova Ben Usman Kate Saenko GAN 57 43 0 05 Aug 2019
Exploring the Robustness of NMT Systems to Nonsensical Inputs Akshay Chaturvedi K. Abijith Utpal Garain AAML 48 12 0 03 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 122 66 0 02 Aug 2019
AdvGAN++ : Harnessing latent layers for adversary generation Puneet Mangla Surgan Jandial Sakshi Varshney V. Balasubramanian GAN 81 69 0 02 Aug 2019
Adversarial Robustness Curves Christina Göpfert Jan Philip Göpfert Barbara Hammer AAML 35 6 0 31 Jul 2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation Utku Ozbulak Arnout Van Messem W. D. Neve MedIm AAML 75 59 0 30 Jul 2019
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding Utku Ozbulak Arnout Van Messem W. D. Neve AAML 34 1 0 30 Jul 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 315 1,095 0 27 Jul 2019
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 119 54 0 26 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 76 63 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 93 459 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 109 248 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 72 90 0 21 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 64 11 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 304 1,487 0 16 Jul 2019
Recovery Guarantees for Compressible Signals with Adversarial Noise J. Dhaliwal Kyle Hambrook AAML 57 2 0 15 Jul 2019
Measuring the Transferability of Adversarial Examples D. Petrov Timothy M. Hospedales SILM AAML 32 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 Yue Liu 3DPC AAML 86 142 0 11 Jul 2019
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn Ziv Katzir Yuval Elovici AAML 20 3 0 11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 105 131 0 09 Jul 2019
Affine Disentangled GAN for Interpretable and Robust AV Perception Letao Liu Martin Saerbeck Justin Dauwels 35 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 83 72 0 05 Jul 2019
Machine learning and behavioral economics for personalized choice architecture Emir Hrnjic N. Tomczak CML AI4CE 56 8 0 03 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 152 493 0 03 Jul 2019
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior Thomas Gittings Steve A. Schneider John Collomosse AAML 61 10 0 03 Jul 2019
Accurate, reliable and fast robustness evaluation Wieland Brendel Jonas Rauber Matthias Kümmerer Ivan Ustyuzhaninov Matthias Bethge AAML OOD 97 113 0 01 Jul 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary Soumik Sarkar AAML 68 5 0 28 Jun 2019
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 37 2 0 27 Jun 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 81 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 128 42 0 26 Jun 2019