Adversarial Example

Adversarial examples are subtly altered inputs designed to fool machine learning models, primarily deep neural networks (DNNs), into making incorrect predictions. Current research focuses on improving model robustness against these attacks, exploring techniques like ensemble methods, multi-objective representation learning, and adversarial training, often applied to architectures such as ResNets and Vision Transformers. Understanding and mitigating the threat of adversarial examples is crucial for ensuring the reliability and security of AI systems across diverse applications, from image classification and natural language processing to malware detection and autonomous driving. The development of robust defenses and effective attack detection methods remains a significant area of ongoing investigation.

Papers

August 24, 2022

August 23, 2022

Transferability Ranking of Adversarial Examples
Mosh Levy, Guy Amit, Yuval Elovici, Yisroel Mirsky
Adversarial Example Black Box Adversarial Transferability Transfer Attack Transferability Score

August 22, 2022

Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Yongwei Wang, Yuan Li, Zhiqi Shen, Yuhui Qiao
Adversarial Attack Adversarial Example Adversarial Perturbation Skin Cancer Multi Scale Diffusion

August 18, 2022

August 17, 2022

August 13, 2022

August 12, 2022

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
Xiangbo Gao, Cheng Luo, Qinliang Lin, Weicheng Xie, Minmin Liu, Linlin Shen, Keerthy Kusumam, Siyang Song
Adversarial Attack Adversarial Example Patch Generation Realistic Adversarial Fast Minimum Norm Attack Task Attack

August 11, 2022

Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
Adversarial Attack Adversarial Example Adversarial Perturbation Transferable Attack Transferable Adversarial Attack Hidden Representation Perturbation Visual Space

August 4, 2022

A New Kind of Adversarial Example
Ali Borji
Adversarial Attack Adversarial Example Adversarial Vulnerability Imperceptible Perturbation Tampered Image

August 3, 2022

Adversarial Attacks on ASR Systems: An Overview
Xiao Zhang, Hao Tan, Xuan Huang, Denghui Zhang, Keke Tang, Zhaoquan Gu
Adversarial Attack Automatic Speech Recognition Adversarial Example ASR System

July 29, 2022

Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone
Adversarial Attack Autonomous Driving Adversarial Example Trajectory Prediction Adversarial Data

July 27, 2022

Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier
Deep Learning Machine Learning Training Data Adversarial Example Membership Inference Attack State of the Art Defense

July 26, 2022

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
Adversarial Attack Adversarial Example Geometric Feature

July 25, 2022

July 21, 2022

Synthetic Dataset Generation for Adversarial Machine Learning Research
Xiruo Liu, Shibani Singh, Cory Cornelius, Colin Busho, Mike Tan, Anindya Paul, Jason Martin
Adversarial Example Synthetic Data Generation Synthetic Dataset Adversarial Machine Learning

Adversarial Example

Papers

Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries

Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps

Transferability Ranking of Adversarial Examples

Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism

Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries

Enhancing Targeted Attack Transferability via Diversified Weight Pruning

An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks

Two Heads are Better than One: Robust Learning Meets Multi-branch Models

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification

MaskBlock: Transferable Adversarial Examples with Bayes Approach

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator

Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks

A New Kind of Adversarial Example

Adversarial Attacks on ASR Systems: An Overview

Robust Trajectory Prediction against Adversarial Attacks

Membership Inference Attacks via Adversarial Examples

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity

$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Synthetic Dataset Generation for Adversarial Machine Learning Research