Man in the Middle Attack

Man-in-the-middle (MITM) attacks exploit vulnerabilities in communication pathways to manipulate data exchanged between systems, compromising their integrity and functionality. Current research focuses on developing and mitigating these attacks across diverse applications, including autonomous driving, cross-modal learning, and visually-aware recommender systems, often employing adversarial machine learning techniques and large language models (LLMs) to generate and detect these attacks. The significance lies in the increasing reliance on interconnected systems, highlighting the urgent need for robust security measures to prevent data corruption and ensure the reliability of AI-driven applications. This research directly impacts the security and trustworthiness of various technologies, driving the development of more resilient and secure systems.

Papers

November 12, 2024

Data-Driven Graph Switching for Cyber-Resilient Control in Microgrids
Suman Rath, Subham Sahoo
DC Microgrid Application Man in the Middle Attack Resilient Control

October 3, 2024

BadCM: Invisible Backdoor Attack Against Cross-Modal Learning
Zheng Zhang, Xu Yuan, Lei Zhu, Jingkuan Song, Liqiang Nie
Cross Modal Modal Attack Man in the Middle Attack Invisible Backdoor Attack Multimodal Backdoor

September 22, 2024

Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song, Muslum Ozgur Ozmen, Hyungsub Kim, Antonio Bianchi, Z. Berkay Celik
Autonomous Driving Ground Truth Man in the Middle Attack Driving Agent Object Generation Attack

September 20, 2024

On the Feasibility of Fully AI-automated Vishing Attacks
João Figueiredo, Afonso Carvalho, Daniel Castro, Daniel Gonçalves, Nuno Santos
Task Feasibility Malicious Agent Man in the Middle Attack Social Engineering Attack

January 30, 2024

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack
Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo, Hongkai Yu
Multi Agent Perception Man in the Middle Attack

January 7, 2024

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi
Detection Method Traffic Sign Recognition Traffic Sign Man in the Middle Attack Physical World Attack

December 29, 2023

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
Zheng Zhou, Hongbo Zhao, Ju Liu, Qiaosheng Zhang, Liwei Geng, Shuchang Lyu, Wenquan Feng
Object Detector Adversarial Patch Physical World Man in the Middle Attack Adversarial CAmouflage

December 20, 2023

Mutual-modality Adversarial Attack with Semantic Perturbation
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Adversarial Attack Adversarial Sample Transferable Attack Modal Attack Man in the Middle Attack Semantic Perturbation

August 8, 2023

A Survey on Decentralized Federated Learning
Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei
Timely Survey Decentralized Federated Learning Privacy Preserving Machine Learning Man in the Middle Attack

July 24, 2023

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations
Yi Han, Matthew Chan, Eric Wengrowski, Zhuohuan Li, Nils Ole Tippenhauer, Mani Srivastava, Saman Zonouz, Luis Garcia
Adversarial Attack Man in the Middle Attack Physical Adversarial Full Frame Eyeglass Model

June 22, 2023

Visual Adversarial Examples Jailbreak Aligned Large Language Models
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
Adversarial Example Jailbreak Attack Adversarial Vulnerability Adversarial Risk Man in the Middle Attack

June 11, 2023

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
Adversarial Attack Adversarial Example Man in the Middle Attack

March 3, 2023

Stealthy Perception-based Attacks on Unmanned Aerial Vehicles
Amir Khazraei, Haocheng Meng, Miroslav Pajic
Unmanned Aerial Vehicle Digital STEALTH Metric Stealthy Attack Man in the Middle Attack Perception Based Control

October 3, 2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma
Reference Image Quality Assessment Nr Iqa Man in the Middle Attack Robust Visual Perception Perceptual Optimization

August 25, 2022

A Perturbation Resistant Transformation and Classification System for Deep Neural Networks
Nathaniel Dean, Dilip Sarkar
Deep Neural Network Deep Convolutional Neural Network Natural Image White Box Man in the Middle Attack Classification System Transformation Robustness

August 15, 2022

A Man-in-the-Middle Attack against Object Detection Systems
Han Wu, Sareh Rowlands, Johan Wahlstrom
Adversarial Attack Object Detection Adversarial Perturbation Man in the Middle Attack Hardware Attack

July 26, 2022

Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu
Adversarial Attack Human Perception Adversarial Audio Man in the Middle Attack

November 20, 2021

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach
Abhijeet Sahu, Katherine Davis
Cross Domain Intrusion Detection Power System Cyber Physical Attack Detection Man in the Middle Attack Meta Heuristic Wireless Sensing Sensor Attack