Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,710 papers shown

Title
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples Mauro Barni Ehsan Nowroozi B. Tondi Bowen Zhang AAML 16 17 0 25 Oct 2019
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? Ali Shafahi Amin Ghiasi Furong Huang Tom Goldstein AAML 27 40 0 25 Oct 2019
A Useful Taxonomy for Adversarial Robustness of Neural Networks L. Smith AAML 36 6 0 23 Oct 2019
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms K. M. Koerich M. Esmailpour Sajjad Abdoli A. Britto Alessandro Lameiras Koerich AAML 38 1 0 22 Oct 2019
Attacking Optical Flow Anurag Ranjan J. Janai Andreas Geiger Michael J. Black AAML 3DPC 19 87 0 22 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 50 89 0 21 Oct 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking Qing Guo Xiaofei Xie Felix Juefei-Xu Lei Ma Zhongguo Li Wanli Xue Wei Feng Yang Liu AAML 24 4 0 19 Oct 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning Yasaman Esfandiari Aditya Balu K. Ebrahimi Umesh Vaidya N. Elia Soumik Sarkar OOD 20 3 0 18 Oct 2019
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications Zirui Xu Fuxun Yu Xiang Chen AAML 17 27 0 17 Oct 2019
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation A. Sarkar Nikhil Kumar Gupta Raghu Sesha Iyengar AAML 16 11 0 17 Oct 2019
Mapper Based Classifier J. Cyranka A. Georges David A. Meyer 9 2 0 17 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 25 34 0 16 Oct 2019
On adversarial patches: real-world attack on ArcFace-100 face recognition system Mikhail Aleksandrovich Pautov Grigorii Melnikov Edgar Kaziakhmedov Klim Kireev Aleksandr Petiushko CVBM PICV AAML 47 53 0 15 Oct 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 36 164 0 15 Oct 2019
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness A. Sarkar A. Raj Raghu Sesha Iyengar AAML AI4TS 34 0 0 15 Oct 2019
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 38 0 0 15 Oct 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox ODL 14 105 0 15 Oct 2019
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks Fuyuan Zhang Sankalan Pal Chowdhury M. Christakis AAML 28 8 0 14 Oct 2019
Real-world adversarial attack on MTCNN face detection system Edgar Kaziakhmedov Klim Kireev Grigorii Melnikov Mikhail Aleksandrovich Pautov Aleksandr Petiushko CVBM AAML 19 41 0 14 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 25 5 0 14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 13 32 0 14 Oct 2019
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems H. Abdullah Muhammad Sajidur Rahman Washington Garcia Logan Blue Kevin Warren Anurag Swarnim Yadav T. Shrimpton Patrick Traynor AAML 25 87 0 11 Oct 2019
Noise as a Resource for Learning in Knowledge Distillation Elahe Arani F. Sarfraz Bahram Zonooz 18 6 0 11 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 19 15 0 10 Oct 2019
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing Rizhao Cai Changsheng Chen AAML CVBM 12 12 0 09 Oct 2019
Adversarial Learning of Deepfakes in Accounting Marco Schreyer Timur Sattarov Bernd Reimer Damian Borth AAML 30 26 0 09 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 104 19 0 08 Oct 2019
Real-time processing of high-resolution video and 3D model-based tracking for remote towers O. Barrowclough S. Briseid G. Muntingh Torbjørn Viksand 22 4 0 08 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 33 40 0 05 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering Lakshya Jain Varun Chandrasekaran Uyeong Jang Wilson Wu Andrew Lee Andy Yan Steven Chen S. Jha S. Seshia AAML 21 11 0 02 Oct 2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack Yang Zhang Shiyu Chang Mo Yu Kaizhi Qian AAML 23 2 0 01 Oct 2019
Attacking CNN-based anti-spoofing face authentication in the physical domain Bowen Zhang B. Tondi Mauro Barni CVBM AAML 15 5 0 01 Oct 2019
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Emre Gursoy Stacey Truex Yanzhao Wu AAML 15 12 0 01 Oct 2019
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems Utku Kose SILM AAML 22 2 0 29 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 26 18 0 27 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 32 92 0 26 Sep 2019
A Closer Look at Domain Shift for Deep Learning in Histopathology Karin Stacke Gabriel Eilertsen Jonas Unger Claes Lundström OOD 18 63 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 33 384 0 23 Sep 2019
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 19 35 0 23 Sep 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks Jinkyu Koo Michael A. Roth S. Bagchi AAML 130 3 0 22 Sep 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization Yaoyao Zhong Weihong Deng AAML 28 50 0 20 Sep 2019
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation Jihyeun Yoon Kyungyul Kim Jongseong Jang AAML 17 4 0 19 Sep 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation Aishan Liu Xianglong Liu Chongzhi Zhang Hang Yu Qiang Liu Dacheng Tao AAML 27 110 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 39 669 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 19 35 0 17 Sep 2019
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization Rayan Mosli M. Wright Bo Yuan Yin Pan AAML 19 16 0 16 Sep 2019
Towards Quality Assurance of Software Product Lines with Adversarial Configurations Paul Temple M. Acher Gilles Perrouin Battista Biggio J. Jézéquel Fabio Roli AAML 22 11 0 16 Sep 2019
Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity Chongzhi Zhang Aishan Liu Xianglong Liu Yitao Xu Hang Yu Yuqing Ma Tianlin Li AAML 27 19 0 16 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition Jian Liu Naveed Akhtar Ajmal Mian AAML 27 68 0 14 Sep 2019