Recent Advances in Adversarial Training for Adversarial Robustness

2 February 2021

Jun Zhao

Papers citing "Recent Advances in Adversarial Training for Adversarial Robustness"

50 / 73 papers shown

Title
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 24 0 0 10 May 2025
What Is AI Safety? What Do We Want It to Be? Jacqueline Harding Cameron Domenico Kirk-Giannini 68 0 0 05 May 2025
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 127 0 0 02 May 2025
Towards Principled Learning for Re-ranking in Recommender Systems Qunwei Li Linghui Li Jianbin Lin Wenliang Zhong 26 0 0 05 Apr 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 36 0 0 14 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 185 0 0 09 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 68 1 0 08 Mar 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs Yahao Pang Xingyuan Wu Xiaojin Zhang Wei Chen Hai Jin FedML 79 0 0 17 Feb 2025
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang Shuo He Bingquan Shen Lei Feng Lei Feng AAML 55 0 0 29 Dec 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 110 1 0 26 Nov 2024
Estimating the Probabilities of Rare Outputs in Language Models Gabriel Wu Jacob Hilton AAML UQCV 40 2 0 17 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 84 1 0 09 Oct 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 59 6 0 25 Aug 2024
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg Roy Ganz Nir Rosenfeld AAML 53 0 0 17 Jun 2024
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification Maximilian Penka 35 0 0 12 Jun 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth C. Pehlevan AAML OOD 46 0 0 27 May 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud H. Sencar Hassan Sajjad Sanjay Chawla AAML 48 0 0 27 May 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 24 0 0 06 Apr 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 32 3 0 02 Feb 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 36 2 0 10 Jan 2024
Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning Xizhou Bu Wenjuan Li Zhengxiong Liu Zhiqiang Ma Panfeng Huang 20 1 0 18 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 36 0 0 05 Dec 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 46 0 0 21 Oct 2023
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model Ran Jiang Sanfeng Zhang L. Liu Yanbin Peng DiffM 23 1 0 16 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks Muhammad Ahmed Shah Bhiksha Raj AAML 30 3 0 01 Aug 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 26 1 0 04 Jul 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 38 4 0 27 May 2023
Towards Adversarially Robust Continual Learning Tao Bai Chen Chen Lingjuan Lyu Jun Zhao B. Wen AAML 16 8 0 31 Mar 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 37 1 0 23 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 36 4 0 21 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 35 10 0 03 Mar 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 51 18 0 22 Feb 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks Piotr Gaiñski Klaudia Bałazy 21 6 0 10 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 25 3 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 30 18 0 29 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 29 5 0 11 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 34 0 0 04 Jan 2023
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 38 47 0 19 Dec 2022
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 24 12 0 28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 39 2 0 26 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 22 33 0 23 Nov 2022
Potential Auto-driving Threat: Universal Rain-removal Attack Jincheng Hu Jihao Li Zhuoran Hou Jingjing Jiang Cunjia Liu Yuanjian Zhang AAML 24 4 0 18 Nov 2022
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses A. Kolli M. Jehanzeb Mirza Horst Possegger Horst Bischof AAML 30 1 0 10 Nov 2022
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference G. Charles Timothy M Wolock P. Winskill A. Ghani Samir Bhatt Seth Flaxman 15 4 0 20 Sep 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 27 26 0 17 Jul 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Zhibo Wang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 27 1 0 05 Jun 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 32 3 0 16 May 2022