1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
Abdullah Arafat Miah, Yu Bi
Deep neural networks (DNNs) have long been recognized as vulnerable to backdoor attacks. By providing poisoned training data in the fine-tuning process, the attacker can implant a…
cs.CV2024★ 1 cited
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
Abdullah Arafat Miah, Kaan Icer, Resit Sendag +1
Backdoor attacks pose a significant threat when using third-party data for deep learning development. In these attacks, data can be manipulated to cause a trained model to behave i…