v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Rana Abou-Khamis Ashraf Matrawy AAML 83 47 0 08 Jul 2020
On the relationship between class selectivity, dimensionality, and robustness Matthew L. Leavitt Ari S. Morcos 58 6 0 08 Jul 2020
Quaternion Capsule Networks B. Özcan Furkan Kinli Mustafa Furkan Kıraç 3DPC 36 7 0 08 Jul 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 84 104 0 08 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 130 14 0 08 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 89 58 0 08 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 75 32 0 08 Jul 2020
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Utku Ozbulak Jonathan Peck W. D. Neve Bart Goossens Yvan Saeys Arnout Van Messem AAML 34 2 0 07 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis Hamid Eghbalzadeh Khaled Koutini Paul Primus Verena Haunschmid Michal Lewandowski Werner Zellinger Bernhard A. Moser Gerhard Widmer AAML 42 9 0 06 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 89 12 0 05 Jul 2020
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers Yuting Liang Reza Samavi AAML 37 2 0 03 Jul 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie Lei Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 80 3 0 02 Jul 2020
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Ines Goicoechea-Telleria Raul Orduna Urrutia AAML 74 5 0 02 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 37 0 0 01 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 98 39 0 01 Jul 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 70 10 0 01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications Eric Wong Tim Schneider Joerg Schmitt Frank R. Schmidt J. Zico Kolter AAML 72 8 0 30 Jun 2020
Generating Adversarial Examples with an Optimized Quality Aminollah Khormali Daehun Nyang David A. Mohaisen AAML 50 1 0 30 Jun 2020
Biologically Inspired Mechanisms for Adversarial Robustness M. V. Reddy Andrzej Banburski Nishka Pant T. Poggio AAML 70 46 0 29 Jun 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 83 10 0 28 Jun 2020
Learning Goals from Failure Dave Epstein Carl Vondrick 27 3 0 28 Jun 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Yunfei Song Tian Liu Tongquan Wei Xiangfeng Wang Zhe Tao Mingsong Chen 108 50 0 28 Jun 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 43 14 0 26 Jun 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 47 11 0 26 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 85 45 0 24 Jun 2020
Bit Error Robustness for Energy-Efficient DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele MQ 54 1 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 105 101 0 23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 111 103 0 23 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 121 189 0 22 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 61 11 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 145 25 0 22 Jun 2020
Interpretation of 3D CNNs for Brain MRI Data Classification M. Kan Ruslan Aliev́ A. Rudenko Nikita Drobyshev Nikita Petrashen E. Kondrateva M. Sharaev A. Bernstein Evgeny Burnaev DiffM 46 0 0 20 Jun 2020
How do SGD hyperparameters in natural training affect adversarial robustness? Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 41 3 0 20 Jun 2020
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples J. O. Caro Yilong Ju Ryan Pyle Sourav Dey Wieland Brendel Fabio Anselmi Ankit B. Patel AAML 79 11 0 19 Jun 2020
Adversarial Attacks for Multi-view Deep Models Xuli Sun Shiliang Sun AAML 31 0 0 19 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 90 24 0 18 Jun 2020
PEREGRiNN: Penalized-Relaxation Greedy Neural Network Verifier Haitham Khedr James Ferlez Yasser Shoukry AAML 62 5 0 18 Jun 2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning Antonios Alexos Konstantinos P. Panousis S. Chatzis OOD AAML 35 3 0 18 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 69 17 0 17 Jun 2020
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders Bartosz Wójcik P. Morawiecki Marek Śmieja Tomasz Krzy.zek Przemysław Spurek Jacek Tabor GAN 67 13 0 17 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 188 608 0 16 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Helen Zhou AAML 73 190 0 15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks Sarada Krithivasan Sanchari Sen A. Raghunathan AAML 37 1 0 14 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 88 38 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 99 251 0 13 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 69 110 0 12 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 63 11 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features Krishna Kanth Nakka Mathieu Salzmann AAML 41 6 0 10 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 98 31 0 10 Jun 2020