Adversarial DEfense

Adversarial defense in machine learning aims to create models robust against adversarial attacks—maliciously crafted inputs designed to cause misclassification. Current research focuses on developing both training-based defenses, such as adversarial training and techniques leveraging optimal transport or energy-based models, and test-time defenses, including input preprocessing and model reprogramming. These efforts are crucial for ensuring the reliability and security of machine learning systems across diverse applications, from image classification and natural language processing to structural health monitoring and malware detection, where vulnerabilities could have significant consequences.

Papers

April 12, 2024

Struggle with Adversarial Defense? Try Diffusion
Yujie Li, Yanbin Wang, Haitao Xu, Bin Liu, Jianguo Sun, Zhenhao Guo, Wenrui Ma
Adversarial Attack Adversarial Robustness Diffusion Explainer Adversarial DEfense Adversarial Noise Diffusion Classifier

April 8, 2024

David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
Miguel Costa, Sandro Pinto
Adversarial Example Extreme Edge Quantization Operator Edge Computing New Attack Adversarial DEfense Empirical Evaluation

April 4, 2024

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Lei Zhang, Yuhang Zhou, Yi Yang, Xinbo Gao
Adversarial Attack Adversarial Robustness Adversarial DEfense Imperceptible Adversarial Perturbation

April 3, 2024

Adversarial Attacks and Dimensionality in Text Classifiers
Nandish Chattopadhyay, Atreya Goswami, Anupam Chattopadhyay
Adversarial Attack Adversarial Example Data Dimensionality Adversarial DEfense Adversarial Vulnerability Text Classifier

March 23, 2024

Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions
Kaiwen Wang, Yinzhe Shen, Martin Lauer
Adversarial Attack Adversarial DEfense Cross Domain Object Detection Low Visibility

February 29, 2024

Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense
Qiao Han, yong huang, xinling Guo, Yiteng Zhai, Yu Qin, Yao Yang
Adversarial Example Adversarial Robustness Mixture of Expert Adversarial DEfense

February 27, 2024

MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme
Xuan Wang, Zeshan Pang, Yuliang Lu, Xuehu Yan
Feature Enhancement Adversarial DEfense Model Improvement Model Development Model Generation

December 16, 2023

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng
Adversarial Attack Adversarial Example Adversarial Robustness Adversarial DEfense Neural Ranker Robustness Trade

December 14, 2023

Detection and Defense of Unlearnable Examples
Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Data Detection Adversarial DEfense Adversarial Noise Defense Method Unlearnable Example

November 28, 2023

Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
AprilPyone MaungMaung, Isao Echizen, Hitoshi Kiya
Adversarial Example Pre Trained Model Supervised ImageNet Adversarial DEfense Key Value Key Value Memory

October 27, 2023

Understanding and Improving Ensemble Adversarial Defense
Yian Deng, Tingting Mu
Adversarial Attack Human Understanding Adversarial DEfense Adversarial Scenario Ensemble Adversarial

September 13, 2023

Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
Jianqiao Wangni
Image Synthesis Adversarial DEfense Deep Image Prior Computational Photography Adversarial Manipulation Deep Filter Deep Nonparametric

September 10, 2023

DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty
Adversarial Attack Adversarial Robustness Adversarial DEfense Test Time Adversarial

September 7, 2023

DiffDefense: Defending against Adversarial Attacks via Diffusion Models
Hondamunige Prasanna Silva, Lorenzo Seidenari, Alberto Del Bimbo
Diffusion Model Adversarial Attack Adversarial DEfense Diffusion Based Method Adversarial Threat

September 6, 2023

My Art My Choice: Adversarial Protection Against Unruly AI
Anthony Rhodes, Ram Bhagat, Umur Aybars Ciftci, Ilke Demir
Artificial Intelligence Generative AI Image Generation Art Specific Information Adversarial DEfense Value Laden Choice Large Generative Model Adversarial Clothes Adversarial Pair

September 5, 2023

September 3, 2023

Robust Adversarial Defense by Tensor Factorization
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Rasmussen, Boian Alexandrov
Adversarial Attack Adversarial DEfense Tensor Factorization Low Rank Decomposition Robust Defense Robust Adversarial

August 7, 2023

A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
Neural Network Deep Learning Adversarial Attack Adversarial Learning Human Understanding Adversarial DEfense

July 31, 2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
Point Cloud Adversarial Example Adversarial Robustness Benchmark Platform Adversarial DEfense Bag Prototype Unconventional Rabbit Hat Trick Point Cloud Recognition Adversarial Robustness Benchmark