Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

17 May 2018

Papers citing "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models"

50 / 252 papers shown

Title
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Bo-Han Lai Pin-Han Huang Bo-Han Kung Shang-Tse Chen 16 0 0 21 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Qingming Huang DiffM 45 0 0 02 May 2025
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 60 0 0 07 Mar 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 56 1 0 25 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 75 0 0 20 Feb 2025
Robust Representation Consistency Model via Contrastive Denoising Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Anima Anandkumar DiffM 87 0 0 22 Jan 2025
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 58 0 0 16 Aug 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 60 16 0 17 Jun 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Hassan Sajjad Sanjay Chawla AAML 53 0 0 27 May 2024
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach Amira Guesmi Nishant Suresh Aswani Mohamed Bennai FAtt AAML 37 1 0 10 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 47 2 0 10 Apr 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 38 0 0 14 Mar 2024
Adversarial Text Purification: A Large Language Model Approach for Defense Raha Moraffah Shubh Khandelwal Amrita Bhattacharjee Huan Liu DeLMO AAML 38 5 0 05 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 33 16 0 02 Feb 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 27 4 0 22 Jan 2024
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 31 1 0 06 Dec 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 45 5 0 06 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 28 8 0 28 Sep 2023
Robust Adversarial Defense by Tensor Factorization Manish Bhattarai M. C. Kaymak Ryan Barron Ben Nebgen Kim Ø. Rasmussen Boian Alexandrov AAML 27 2 0 03 Sep 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 40 3 0 29 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 36 8 0 22 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation Meng Wei C. Budd Luis C. García-Peraza-Herrera R. Dorent Miaojing Shi Tom Kamiel Magda Vercauteren 28 5 0 09 Aug 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 34 13 0 10 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 44 1 0 29 Jun 2023
The defender's perspective on automatic speaker verification: An overview Haibin Wu Jiawen Kang Lingwei Meng Helen Meng Hung-yi Lee AAML 24 15 0 22 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 54 51 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 23 1 0 18 May 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 20 0 0 29 Mar 2023
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang Qingbin Liu Min Zhang 53 4 0 21 Mar 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 56 4 0 02 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung Shang-Tse Chen AAML 37 0 0 01 Feb 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 37 1 0 16 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 37 2 0 11 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 26 19 0 05 Dec 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 27 17 0 05 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks Gaurav Kumar Nayak Inder Khatri Ruchit Rawal Anirban Chakraborty AAML 33 1 0 03 Nov 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 30 2 0 02 Nov 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 33 0 0 31 Oct 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Richard I. Hartley Peter Tu AAML 24 5 0 26 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 33 5 0 11 Oct 2022
GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System M. Agrawal P. Mehrotra Rajesh Kumar R. Shah 29 7 0 02 Oct 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 48 8 0 12 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 37 148 0 31 Aug 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 16 0 0 31 Aug 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 28 5 0 23 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 34 33 0 04 Aug 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 48 38 0 21 Jul 2022