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 / 161 papers shown

Title
Active Adversarial Noise Suppression for Image Forgery Localization Rongxuan Peng Shunquan Tan Xianbo Mo Alex C. Kot Jiwu Huang AAML 11 0 0 15 Jun 2025
Efficiency Robustness of Dynamic Deep Learning Systems Ravishka Rathnasuriya Tingxi Li Zexin Xu Zihe Song Mirazul Haque Simin Chen Wei Yang AAML SILM 138 0 0 12 Jun 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection Xia Du Jiajie Zhu Jizhe Zhou Chi-Man Pun Zheng Lin Cong Wu Zhaoyu Chen Jun Luo AAML 78 0 0 11 May 2025
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification Reek Majumder M. Chowdhury S. Khan Zadid Khan Fahim Ahmad Frank Ngeni G. Comert Judith Mwakalonge Dimitra Michalaka AAML 40 0 0 17 Apr 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 111 0 0 20 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 498 0 0 09 Mar 2025
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion Yuan Bian Min Liu Yunqi Yi Xueping Wang Yaonan Wang AAML 92 0 0 27 Feb 2025
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 172 1 0 04 Nov 2024
JPEG Inspired Deep Learning Ahmed H. Salamah Kaixiang Zheng Yiwen Liu En-Hui Yang 94 1 0 09 Oct 2024
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models Siyu Zhai Zhibo He Xiaofeng Cong Junming Hou Jie Gui Jian Wei You Xin Gong James Tin-Yau Kwok Yuan Yan Tang AAML 56 0 0 10 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 161 1 0 06 Sep 2024
Scaling Training Data with Lossy Image Compression Katherine L. Mentzer Andrea Montanari 46 0 0 25 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks Min Ren Yunlong Wang Yuhao Zhu Yongzhen Huang Zhenan Sun Qi Li Tieniu Tan 112 4 0 26 Jun 2024
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors Zijin Lin Yue Zhao Kai Chen Jinwen He AAML 56 1 0 12 Jun 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 76 2 0 24 May 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 80 3 0 10 Apr 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 118 14 0 13 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 102 2 0 06 Dec 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 42 0 0 14 Nov 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 66 6 0 07 Aug 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 66 3 0 27 Jun 2023
Area is all you need: repeatable elements make stronger adversarial attacks D. Niederhut AAML 59 0 0 13 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 112 7 0 06 Jun 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 65 8 0 31 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 53 2 0 08 May 2023
JPEG Compressed Images Can Bypass Protections Against AI Editing Pedro Sandoval-Segura Jonas Geiping Tom Goldstein DiffM 56 11 0 05 Apr 2023
GradMDM: Adversarial Attack on Dynamic Networks Jianhong Pan Lin Geng Foo Qichen Zheng Zhipeng Fan Hossein Rahmani Qiuhong Ke Jing Liu AAML 75 7 0 01 Apr 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 101 54 0 25 Mar 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 81 37 0 31 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks Ayesha Siddique Ripan Kumar Kundu Gautam Raj Mode K. A. Hoque AAML 53 2 0 25 Jan 2023
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 128 39 0 11 Dec 2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML OOD 142 2 0 02 Nov 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 54 1 0 25 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 165 4 0 22 Oct 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 64 6 0 23 Aug 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Xiang Gao Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 47 5 0 12 Aug 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 56 11 0 21 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 54 14 0 13 Jul 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 25 1 0 15 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 53 6 0 14 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 53 0 0 01 Jun 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 75 14 0 18 Apr 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML 57 4 0 19 Mar 2022
Perception Over Time: Temporal Dynamics for Robust Image Understanding Maryam Daniali Edward J. Kim AI4TS 53 6 0 11 Mar 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 25 4 0 18 Feb 2022
Lossy Compression of Noisy Data for Private and Data-Efficient Learning Berivan Isik Tsachy Weissman 64 3 0 07 Feb 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 71 53 0 17 Jan 2022
Repairing Adversarial Texts through Perturbation Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 32 2 0 29 Dec 2021
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge Kartikeya Bhardwaj Dibakar Gope James Ward P. Whatmough Danny Loh AAML 30 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 70 0 0 28 Dec 2021