2 citations · 2 across the 11 of their papers we have counts for
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cs.LG2024
Differentially Private Neural Network Training Under the Hidden State Assumption
Ding Chen, Haochen Luo, Xiaofei Wang +1
Current differentially private learning paradigms face a severe utility bottleneck: DP-SGD degrades performance through noise accumulation over training steps, while aggregation-ba…
cs.CV2024
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
Fengyuan Liu, Haochen Luo, Yiming Li +2
Recent progress in visual generative models enables the generation of high-quality images. To prevent the misuse of generated images, it is important to identify the origin model t…
cs.CV2024★ 2 cited
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Haochen Luo, Jindong Gu, Fengyuan Liu +1
Different from traditional task-specific vision models, recent large VLMs can readily adapt to different vision tasks by simply using different textual instructions, i.e., prompts.…