Attack Model

Attack models in machine learning and cyber-physical systems aim to characterize and simulate malicious actions targeting various systems, from autonomous vehicles to federated learning platforms. Current research focuses on developing sophisticated attack models across diverse domains, employing techniques like generative adversarial networks, reinforcement learning, and ensemble methods to improve attack effectiveness and stealth. This work is crucial for evaluating the robustness of these systems and informing the design of effective defenses, ultimately contributing to the development of more secure and reliable technologies.

Papers

November 17, 2024

CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
Depeng Chen, Xiao Liu, Jie Cui, Hong Zhong (School of Computer Science and Technology, Anhui University)
LeArning Abstract Machine Learning Model Membership Inference Attack Attack Method Attack Model

October 7, 2024

Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models
Kacper Sowka, Vasile Palade, Xiaorui Jiang, Hesam Jadidbonab
Language Model Faithful Generation Siamese Network Vulnerability Data Attack Dataset Attack Model

October 4, 2024

ROS2-Based Simulation Framework for Cyberphysical Security Analysis of UAVs
Unmesh Patil, Akshith Gunasekaran, Rakesh Bobba, Houssam Abbas
Collision Avoidance Simulation Framework Uncrewed Aerial Vehicle Attack Model Physical Security

July 6, 2024

Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
Feilong Wang, Xin Wang, Xuegang Ban
Timely Survey Data Poisoning Attack Intelligent Transportation System Data Poisoning Attack Model

June 11, 2024

CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
Sadek Misto Kirdi, Nicola Scarano, Franco Oberti, Luca Mannella, Stefano Di Carlo, Alessandro Savino
Attack Model Controller Area Network Automotive Application Simulink Simulator

October 11, 2023

Improved Membership Inference Attacks Against Language Classification Models
Shlomit Shachor, Natalia Razinkov, Abigail Goldsteen
Membership Inference Attack Privacy Risk Attack Model

August 25, 2023

Active learning for fast and slow modeling attacks on Arbiter PUFs
Vincent Dumoulin, Wenjing Rao, Natasha Devroye
Active Learning Attack Model Unclonable Function Cryptographic Primitive Based Attack

August 14, 2023

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach
Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu
Reinforcement Learning Constructive Approach Various Fast Moving Drone Network Topology UAV Network Attack Model Improved Route Multiple Attack

July 17, 2023

Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
Rongke Liu, Dong Wang, Yizhi Ren, Zhen Wang, Kaitian Guo, Qianqian Qin, Xiaolei Liu
Conditional Diffusion Model Model Inversion Attack Attack Model Label Only Model Inversion Attack

May 2, 2023

DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning
Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang
Backdoor Attack Stealthy Backdoor Attack Attack Model

February 23, 2023

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots
Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
Adversarial Example Word List Adaptive Attack Story Plot Model Stealing Attack Attack Model Shadow Model Target Model

October 30, 2022

PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing
James O Sullivan, Mohammad Arif Ul Alam
Wearable Sensor Wearable Sensor Data Attack Model Identification Attack

October 2, 2022

Optimization for Robustness Evaluation beyond $\ell_p$ Metrics
Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Adversarial Attack Optimization Purpose Gradient Descent Metric Library Constrained Optimization Robustness Evaluation Attack Model

August 17, 2022

Detection and Mitigation of Byzantine Attacks in Distributed Training
Konstantinos Konstantinidis, Namrata Vaswani, Aditya Ramamoorthy
Data Detection Faulty Negative Mitigation Adversarial Behavior Byzantine Attack Oblivious Adversary Novel Attack Attack Model Byzantine Fault

June 28, 2022

Reasoning about Moving Target Defense in Attack Modeling Formalisms
Gabriel Ballot, Vadim Malvone, Jean Leneutre, Etienne Borde
Step Attack DEfense Mechanism DAG Learning Attack Model Moving Target Defense

June 23, 2022

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
Recommender System Attack Model Fake User Shilling Attack

May 2, 2022

Deep-Attack over the Deep Reinforcement Learning
Yang Li, Quan Pan, Erik Cambria
Adversarial Attack Deep Reinforcement Learning Adversarial Training Attack Framework Attack Model Deep Attack

April 7, 2022

Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses
Satwik Kundu, Swaroop Ghosh
Quantum Machine Learning Emerging Opportunity Quantum Computing Threat Word Hilbert Space Attack Model Security Implication Hardware Security

March 11, 2022

Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation
Yunhan Huang, Quanyan Zhu
Reinforcement Learning Strategic Manipulation Adversarial Manipulation Approximate Dynamic Programming Attack Model Batch Reinforcement Learning