62 citations · 64 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 62 cited
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei +16
Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the…
cs.LG2023★ 1 cited
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen, Dawn Song, Bo Li
Diffusion models have achieved great success in a range of tasks, such as image synthesis and molecule design. As such successes hinge on large-scale training data collected from d…
cs.CV2021★ 1 cited
Enabling the Network to Surf the Internet
Zhuoling Li, Haohan Wang, Tymoteusz Swistek +3
Few-shot learning is challenging due to the limited data and labels. Existing algorithms usually resolve this problem by pre-training the model with a considerable amount of annota…