2,104+ academic papers on AI security, attacks, and defenses
Showing 2101–2104 of 2,104 papers
Xiyu Zeng, Siyuan Liang, Liming Lu +5 more
As the capabilities of Vision Language Models (VLMs) continue to improve, they are increasingly targeted by jailbreak attacks. Existing defense...
Balazs Pejo, Marcell Frank, Krisztian Varga +2 more
This paper investigates the fragility of contribution evaluation in federated learning, a critical mechanism for ensuring fairness and incentivizing...
Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2 more
Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both...
Wence Ji, Jiancan Wu, Aiying Li +5 more
With the rapid advancement of large language models (LLMs), their robustness against adversarial manipulations, particularly jailbreak backdoor...
Get breaking CVE alerts, compliance reports (ISO 42001, EU AI Act), and CISO risk assessments for your AI/ML stack.
Start 14-Day Free Trial
AI Threat Alert