5 papers
FIDA: Feature Instability-Driven Attack on Self-Supervised Facial Representation
Zhiyang Chen, Changchun Yin, Huiqin Yang +1
Self-supervised learning (SSL) models are vulnerable to backdoor attacks. However, the systemic risks they pose in face representation have received little attention. The entanglem…
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection
Qiannan Wang, Changchun Yin, Lu Zhou +1
The extensive adoption of Self-supervised learning(SSL) has led to an increased security threat from backdoor attacks. While existing research has mainly focused on backdoor attack…
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning
Qiannan Wang, Changchun Yin, Zhe Liu +3
Within the realm of computer vision, self-supervised learning (SSL) pertains to training pre-trained image encoders utilizing a substantial quantity of unlabeled images. Pre-traine…
SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning
Xiaobei Li, Changchun Yin, Liyue Zhu +4
Self-supervised learning (SSL), a paradigm harnessing unlabeled datasets to train robust encoders, has recently witnessed substantial success. These encoders serve as pivotal featu…
PromptAttack: Prompt-based Attack for Language Models via Gradient Search
Yundi Shi, Piji Li, Changchun Yin +3
As the pre-trained language models (PLMs) continue to grow, so do the hardware and data requirements for fine-tuning PLMs. Therefore, the researchers have come up with a lighter me…