Threat Word

"Threat word" research encompasses the vulnerabilities of various AI systems to malicious manipulation, focusing on how adversarial attacks compromise their functionality, safety, and trustworthiness. Current research investigates these threats across diverse AI applications, including autonomous vehicles (using LiDAR and vision-language models), pricing algorithms, federated learning, and large language models (LLMs), employing techniques like adversarial examples, data poisoning, and prompt injection. Understanding and mitigating these vulnerabilities is crucial for ensuring the responsible development and deployment of AI, impacting fields ranging from transportation safety to economic fairness and online security.

Papers

August 9, 2022

Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Ahmed Omara, Burak Kantarci
Adversarial Learning White Box Service Provider Inference Attack Threat Word Gray Box Vehicle to Grid

July 17, 2022

Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad
Diffusion Model Adversarial Attack Adversarial Training Adversarial Perturbation Threat Word Imperceptible Attack Agnostic Adversarial

April 26, 2022

An Overview of Recent Work in Media Forensics: Methods and Threats
Kratika Bhagtani, Amit Kumar Singh Yadav, Emily R. Bartusiak, Ziyue Xiang, Ruiting Shao, Sriram Baireddy, Edward J. Delp
NCD Method Threat Word Data Modality Manipulation Strategy

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

February 27, 2022

The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
Thanh H. Nguyen, Arunesh Sinha
Strategic Manipulation Art Specific Information Threat Word Step Attack Security Game Multi Step Attack Stackelberg Security Game

Threat Word

Papers

Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services

Threat Model-Agnostic Adversarial Defense using Diffusion Models

An Overview of Recent Work in Media Forensics: Methods and Threats

Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses

The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games