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
Quantifying the Risk of Transferred Black Box Attacks Disesdi Susanna Cox Niklas Bunzel AAML 136 0 0 07 Nov 2025
Trans-defense: Transformer-based Denoiser for Adversarial Defense with Spatial-Frequency Domain Representation Alik Pramanick Mayank Bansal Utkarsh Srivastava Suklav Ghosh Arijit Sur 53 1 0 31 Oct 2025
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification Samuel Räber Till Aczél Andreas Plesner Roger Wattenhofer DiffM AAML 144 0 0 07 Aug 2025
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Hayat Ullah Syed Muhammad Talha Zaidi Arslan Munir AAML 139 0 0 28 Jul 2025
Active Adversarial Noise Suppression for Image Forgery Localization Rongxuan Peng Shunquan Tan Xianbo Mo Alex C. Kot Jiwu Huang AAML 207 1 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 271 1 0 12 Jun 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy ProtectionIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025 Xia Du Jiajie Zhu Jizhe Zhou Chi-Man Pun Zheng Lin Cong Wu Zhaoyu Chen Jun Luo AAML 170 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 94 1 0 17 Apr 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Victor Jimenez Rodriguez Alessandro Torcinovich Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 213 0 0 20 Mar 2025
Long-tailed Adversarial Training with Self-DistillationInternational Conference on Learning Representations (ICLR), 2025 Yujin Yang Hongsin Lee Changick Kim AAML TTA 927 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 338 0 0 27 Feb 2025
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset V. Frants S. Agaian AAML 127 0 0 12 Feb 2025
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 334 2 0 04 Nov 2024
JPEG Inspired Deep LearningInternational Conference on Learning Representations (ICLR), 2024 Ahmed H. Salamah Kaixiang Zheng Yiwen Liu En-Hui Yang 241 2 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 133 0 0 10 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-IdentificationIEEE Transactions on Image Processing (TIP), 2024 Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 367 1 0 06 Sep 2024
Scaling Training Data with Lossy Image Compression Katherine L. Mentzer Andrea Montanari 93 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 223 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 144 7 0 12 Jun 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 147 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 172 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 242 21 0 13 Dec 2023
Indirect Gradient Matching for Adversarial Robust DistillationInternational Conference on Learning Representations (ICLR), 2023 Hongsin Lee Yujin Yang Changick Kim AAML FedML 188 2 0 06 Dec 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 134 0 0 14 Nov 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 117 10 0 07 Aug 2023
Advancing Adversarial Training by Injecting Booster SignalIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 170 4 0 27 Jun 2023
Area is all you need: repeatable elements make stronger adversarial attacks D. Niederhut AAML 137 0 0 13 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of FiltersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Xingxing Wei Shiji Zhao Bo li AAML 281 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 194 9 0 31 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram EqualizationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 125 4 0 08 May 2023
JPEG Compressed Images Can Bypass Protections Against AI Editing Pedro Sandoval-Segura Jonas Geiping Tom Goldstein DiffM 113 14 0 05 Apr 2023
GradMDM: Adversarial Attack on Dynamic NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jianhong Pan Lin Geng Foo Qichen Zheng Zhipeng Fan Hossein Rahmani Qiuhong Ke Jing Liu AAML 151 8 0 01 Apr 2023
CFA: Class-wise Calibrated Fair Adversarial TrainingComputer Vision and Pattern Recognition (CVPR), 2023 Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 173 70 0 25 Mar 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with CompressionInternational Conference on Machine Learning (ICML), 2023 Zhuoran Liu Subrat Kishore Dutta Martha Larson 223 47 0 31 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks Ayesha Siddique Ripan Kumar Kundu Gautam Raj Mode K. A. Hoque AAML 130 3 0 25 Jan 2023
DISCO: Adversarial Defense with Local Implicit FunctionsNeural Information Processing Systems (NeurIPS), 2022 Chih-Hui Ho Nuno Vasconcelos AAML 285 49 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 188 3 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 131 1 0 25 Oct 2022
Hindering Adversarial Attacks with Implicit Neural RepresentationsInternational Conference on Machine Learning (ICML), 2022 Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 256 5 0 22 Oct 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy ProtectionIEEE Transactions on Image Processing (IEEE TIP), 2022 Simin Li Huangxinxin Xu Jinyang Guo Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 120 7 0 23 Aug 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Yantao Du Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 166 7 0 12 Aug 2022
Rethinking Textual Adversarial Defense for Pre-trained Language ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 141 14 0 21 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face RecognitionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 146 20 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 68 3 0 15 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 147 8 0 14 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 128 2 0 01 Jun 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML SystemsIEEE VLSI Test Symposium (VTS), 2022 Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 176 14 0 18 Apr 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language ModelFindings (Findings), 2022 Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML 93 5 0 19 Mar 2022
Perception Over Time: Temporal Dynamics for Robust Image Understanding Maryam Daniali Edward J. Kim AI4TS 121 7 0 11 Mar 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 97 4 0 18 Feb 2022