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, 2023

Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks
John Harshith, Mantej Singh Gill, Madhan Jothimani
Adversarial Attack Adversarial Example Security Vulnerability Machine Learning System Contentious Term

August 23, 2023

August 22, 2023

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
Adversarial Example GNN Prediction Malicious Domain

August 21, 2023

August 20, 2023

Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang
Adversarial Example Rotation Angle Shuffle Model Adversarial Transferability Input Transformation Transfer Based Attack

August 15, 2023

August 13, 2023

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino, Isabel Praça, Eva Maia
Adversarial Attack Adversarial Example Network Intrusion Detection Realistic Adversarial Knowledge Organization

August 8, 2023

Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni
Adversarial Example Transformer Megatron Decepticons Evasion Attack Malicious Sample Malicious Attack Novel Shielding Mechanism

August 6, 2023

CGBA: Curvature-aware Geometric Black-box Attack
Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
Adversarial Example Decision Based

August 5, 2023

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
Bin Chen, Jia-Li Yin, Shukai Chen, Bo-Hao Chen, Ximeng Liu
Adversarial Example Ensemble Adversarial Transfer Based Adversarial Attack Ensemble Attack

August 4, 2023

August 3, 2023

August 2, 2023

Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time
Xinfeng Li, Chen Yan, Xuancun Lu, Zihan Zeng, Xiaoyu Ji, Wenyuan Xu
Automatic Speech Recognition Adversarial Example Real Time Recognition Rate Imperceptible Adversarial Perturbation User Utterance

August 1, 2023

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
Hai Zhu, Zhaoqing Yang, Weiwei Shang, Yuren Wu
Adversarial Example Local Explanation Hard Label Attack Word Level Adversarial

July 31, 2023

Transferable Attack for Semantic Segmentation
Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai
Adversarial Attack Semantic Segmentation Adversarial Example Transferable Attack