Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,473 papers shown

Title
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 13 79 0 19 Nov 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment Bing Yu Hua Qi Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Jianjun Zhao 17 5 0 19 Nov 2020
Effective, Efficient and Robust Neural Architecture Search Zhixiong Yue Baijiong Lin Xiaonan Huang Yu Zhang AAML 31 19 0 19 Nov 2020
An Experimental Study of Semantic Continuity for Deep Learning Models Shangxi Wu Dongyuan Lu Xian Zhao Lizhang Chen Jitao Sang 36 2 0 19 Nov 2020
Robustified Domain Adaptation Jiajin Zhang Hanqing Chao Pingkun Yan 14 4 0 18 Nov 2020
Contextual Fusion For Adversarial Robustness Aiswarya Akumalla S. Haney M. Bazhenov AAML 27 1 0 18 Nov 2020
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs Arezoo Rajabi R. Bobba OODD AAML 11 2 0 18 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 21 7 0 18 Nov 2020
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients Daniel M. Lang J. Peeken Stephanie E. Combs J. Wilkens S. Bartzsch MedIm 21 27 0 17 Nov 2020
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances Ali Shahin Shamsabadi Francisco Teixeira A. Abad Bhiksha Raj Andrea Cavallaro Isabel Trancoso AAML 17 29 0 17 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 8 0 0 17 Nov 2020
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents Xian Yeow Lee Yasaman Esfandiari Kai Liang Tan S. Sarkar AAML 16 32 0 13 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 32 12 0 12 Nov 2020
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays Pranav Rajpurkar Anirudh Joshi Anuj Pareek Jeremy Irvin A. Ng M. Lungren 20 3 0 12 Nov 2020
Detecting Adversarial Patches with Class Conditional Reconstruction Networks Perry Deng Mohammad Saidur Rahman M. Wright AAML 6 2 0 11 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation Li-xin Yuan Will Xiao Giorgia Dellaferrera Gabriel Kreiman Francis E. H. Tay Jiashi Feng Margaret Livingstone AAML 28 1 0 11 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 29 11 0 10 Nov 2020
Risk Assessment for Machine Learning Models Paul Schwerdtner Florens Greßner Nikhil Kapoor F. Assion René Sass W. Günther Fabian Hüger Peter Schlicht 11 6 0 09 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 27 101 0 09 Nov 2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Alex Mathai Shreya Khare Srikanth G. Tamilselvam Senthil Mani AAML 28 6 0 08 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 44 14 0 06 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 19 5 0 05 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 12 28 0 05 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 10 23 0 02 Nov 2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries R. Sahay Christopher G. Brinton David J. Love AAML 14 9 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 34 1 0 02 Nov 2020
MAD-VAE: Manifold Awareness Defense Variational Autoencoder Frederick Morlock Dingsu Wang AAML DRL 21 2 0 31 Oct 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models Francesco Calivá Kaiyang Cheng Rutwik Shah V. Pedoia OOD AAML MedIm 30 10 0 30 Oct 2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers T. Shapira David Berend Ishai Rosenberg Yang Liu A. Shabtai Yuval Elovici AAML 27 4 0 30 Oct 2020
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification Yongwei Wang Mingquan Feng Rabab Ward Z. J. Wang Lanjun Wang AAML 19 3 0 30 Oct 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 19 11 0 29 Oct 2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification Arslan Ali A. Migliorati T. Bianchi E. Magli AAML OOD OODD 12 1 0 29 Oct 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 30 17 0 28 Oct 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 35 4 0 27 Oct 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 17 9 0 27 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 18 40 0 25 Oct 2020
Stop Bugging Me! Evading Modern-Day Wiretapping Using Adversarial Perturbations Yael Mathov Tal Senior A. Shabtai Yuval Elovici 36 5 0 24 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 32 1 0 23 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 27 140 0 22 Oct 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 39 4 0 22 Oct 2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks Shenhao Wang Baichuan Mo Jinhuan Zhao AI4CE 19 34 0 22 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 14 0 0 22 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 19 51 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 16 7 0 21 Oct 2020
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning Thomas Cilloni Wei Wang Charles Walter Charles Fleming PICV AAML 13 8 0 20 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 25 71 0 19 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 678 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders Elior Nehemya Yael Mathov A. Shabtai Yuval Elovici AIFin AAML 8 4 0 19 Oct 2020