How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks?
Abeer M. Almalky +3 more
openalex +1 more source
Enhancing DNN Adversarial Robustness via Dual Stochasticity and Geometric Normalization. [PDF]
Wu X, Han G.
europepmc +1 more source
Investigation of the Robustness and Transferability of Adversarial Patches in Multi-View Infrared Target Detection. [PDF]
Zhou Q +7 more
europepmc +1 more source
LatAtk: A Medical Image Attack Method Focused on Lesion Areas with High Transferability. [PDF]
Li L +5 more
europepmc +1 more source
Robust detection framework for adversarial threats in Autonomous Vehicle Platooning. [PDF]
Ness S.
europepmc +1 more source
An incremental adversarial training method enables timeliness and rapid new knowledge acquisition. [PDF]
Ge Y, Dong Y, Sun H, Liu Y, Wang C.
europepmc +1 more source
Managing cyber risks in the face of AI- and ML - Driven Adversarial Attacks
Godwill Chimamiwa
openalex +1 more source
Securing IoT Vision Systems: An Unsupervised Framework for Adversarial Example Detection Integrating Spatial Prototypes and Multidimensional Statistics. [PDF]
Wang N, Li J, Zhang C, Zhang D.
europepmc +1 more source
Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]
Ayub A +6 more
europepmc +1 more source
Toward Robust Agents: A Survey of Adversarial Attacks and Defenses in Deep Reinforcement Learning
Adithya Mohan, Torsten Schön
openalex +1 more source

