Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

8 May 2017

Papers citing "Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression"

50 / 166 papers shown

Title
Lossy Compression of Noisy Data for Private and Data-Efficient LearningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022 Berivan Isik Tsachy Weissman 229 3 0 07 Feb 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition SystemsNetwork and Distributed System Security Symposium (NDSS), 2022 Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 153 69 0 17 Jan 2022
Repairing Adversarial Texts through PerturbationTheoretical Aspects of Software Engineering (TASE), 2021 Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 126 2 0 29 Dec 2021
Super-Efficient Super Resolution for Fast Adversarial Defense at the EdgeDesign, Automation and Test in Europe (DATE), 2021 Kartikeya Bhardwaj Dibakar Gope James Ward P. Whatmough Danny Loh AAML 88 4 0 29 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 212 0 0 28 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 160 11 0 16 Dec 2021
A Frequency Perspective of Adversarial Robustness Shishira R. Maiya Max Ehrlich Vatsal Agarwal Ser-Nam Lim Tom Goldstein Abhinav Shrivastava AAML 144 44 0 26 Oct 2021
Moiré Attack (MA): A New Potential Risk of Screen Photos Dantong Niu Ruohao Guo Yisen Wang AAML 103 3 0 20 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 223 15 0 12 Sep 2021
Morphence: Moving Target Defense Against Adversarial ExamplesAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Abderrahmen Amich Birhanu Eshete AAML 183 28 0 31 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 165 112 0 20 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 410 289 0 01 Aug 2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features Hui Liu Bo Zhao Minzhi Ji Yuefeng Peng Jiabao Guo Peng Liu AAML 180 3 0 19 Jul 2021
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning Yihao Huang Qing Guo Felix Juefei Xu Lei Ma Weikai Miao Yang Liu G. Pu AAML 118 17 0 14 Jul 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 76 4 0 25 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021 Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zinan Lin J. Yadawa 235 43 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 177 67 0 07 Jun 2021
Removing Adversarial Noise in Class Activation Feature SpaceIEEE International Conference on Computer Vision (ICCV), 2021 Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 103 35 0 19 Apr 2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression Rehana Mahfuz R. Sahay Aly El Gamal AAML 81 4 0 03 Apr 2021
Cyclic Defense GAN Against Speech Adversarial AttacksIEEE Signal Processing Letters (IEEE SPL), 2021 Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 190 8 0 26 Mar 2021
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech SystemsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021 Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 103 18 0 15 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Feng He Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 228 26 0 12 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling Md. Shohidul Islam Ihsen Alouani Khaled N. Khasawneh AAML 91 1 0 11 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity HypothesisNeurocomputing (Neurocomputing), 2021 Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 188 10 0 01 Mar 2021
Automated Discovery of Adaptive Attacks on Adversarial DefensesNeural Information Processing Systems (NeurIPS), 2021 Chengyuan Yao Pavol Bielik Petar Tsankov Martin Vechev AAML 168 27 0 23 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic ReviewNational Science Open (NSO), 2021 Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 290 27 0 04 Feb 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering PerspectiveJournal of Information Security and Applications (JISA), 2021 Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 248 19 0 08 Jan 2021
On the Limitations of Denoising Strategies as Adversarial Defenses Zhonghan Niu Zhaoxi Chen Linyi Li Yubin Yang Yue Liu Jinfeng Yi AAML 144 14 0 17 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2020 X. Li Xiangrui Li Deng Pan D. Zhu AAML 128 17 0 14 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 142 6 0 08 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 106 2 0 08 Dec 2020
Content-Adaptive Pixel Discretization to Improve Model Robustness Ryan Feng Wu-chi Feng Atul Prakash AAML 140 0 0 03 Dec 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana Wei Liu D. Glance Lin Wang AAML 192 5 0 05 Nov 2020
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2020 Gautam Raj Mode K. A. Hoque AAML AI4TS 117 66 0 24 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 147 13 0 15 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's PerspectiveACM Computing Surveys (ACM CSUR), 2020 G. R. Machado Eugênio Silva R. Goldschmidt AAML 224 179 0 08 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 132 3 0 02 Sep 2020
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 183 16 0 18 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 235 8 0 13 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2020 A. Serban E. Poll Joost Visser AAML 337 78 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Yang Liu Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 164 99 0 05 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 139 35 0 03 Aug 2020
Exploiting vulnerabilities of deep neural networks for privacy protectionIEEE transactions on multimedia (TMM), 2020 Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 83 28 0 19 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 139 41 0 01 Jul 2020
Defensive Approximation: Securing CNNs using Approximate ComputingInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020 Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 173 41 0 13 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 157 2 0 12 Jun 2020
Defense Through Diverse DirectionsInternational Conference on Machine Learning (ICML), 2020 Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 104 4 0 24 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and DefenceFrontiers in Big Data (Front. Big Data), 2020 Christian Berghoff Matthias Neu Arndt von Twickel AAML 165 26 0 18 Mar 2020
Search Space of Adversarial Perturbations against Image FiltersInternational Journal of Advanced Computer Science and Applications (IJACSA), 2020 D. D. Thang Toshihiro Matsui AAML 90 1 0 05 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving SystemsIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020 M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 139 16 0 04 Mar 2020