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

May 18, 2023

May 16, 2023

Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via Input Gradient Distillation
Junxi Chen, Junhao Dong, Xiaohua Xie
Adversarial Example Adversarial Training Adversarial Robustness Adversarial Defense Societal Inequality

May 14, 2023

Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi
Diffusion Model Adversarial Attack Adversarial Example Transferable Attack Transferable Adversarial Attack Imperceptible Pattern

May 11, 2023

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications
Han Cheol Moon, Shafiq Joty, Ruochen Zhao, Megh Thakkar, Xu Chi
Adversarial Example Adversarial Robustness NLP Model Scale Pre Trained Language Model Masked Modeling Smoothing Factor Robust Text Classification

May 10, 2023

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu
Adversarial Example Adversarial Training Adversarial Sample Black Box Attack Code Model

May 8, 2023

May 6, 2023

May 3, 2023

New Adversarial Image Detection Based on Sentiment Analysis
Yulong Wang, Tianxiang Li, Shenghong Li, Xin Yuan, Wei Ni
Adversarial Example Sentiment Analysis Adversarial Detection Adversarial Example Detection

May 1, 2023

April 26, 2023

April 23, 2023

StyLess: Boosting the Transferability of Adversarial Examples
Kaisheng Liang, Bin Xiao
Adversarial Attack Adversarial Example Task Transferability Transferable Attack

April 20, 2023

Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang
Adversarial Attack Adversarial Example Adversarial Transferability Level Feature