Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers

Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6

Adversarial vulnerabilities remain a major concern for the safe deployment of neural networks, particularly in object detection, a core task embedded in many safety-critical system…