4 papers
GuidanceNFT: NFT-Based Reward Fine-Tuning of Guided Diffusion Models
Jiayin Liu, Zeyu Michael Li, Bingshuo Qian +1
DiffusionNFT (NFT) fine-tunes diffusion models toward task-specific rewards, but optimizing these rewards does not guarantee fidelity to the full prompt. Although classifier-free g…
Revisiting the Auxiliary Data in Backdoor Purification
Shaokui Wei, Shanchao Yang, Jiayin Liu +1
Backdoor attacks occur when an attacker subtly manipulates machine learning models during the training phase, leading to unintended behaviors when specific triggers are present. To…
Backdoor Mitigation by Distance-Driven Detoxification
Shaokui Wei, Jiayin Liu, Hongyuan Zha
Backdoor attacks undermine the integrity of machine learning models by allowing attackers to manipulate predictions using poisoned training data. Such attacks lead to targeted misc…
Mean Parity Fair Regression in RKHS
Shaokui Wei, Jiayin Liu, Bing Li +1
We study the fair regression problem under the notion of Mean Parity (MP) fairness, which requires the conditional mean of the learned function output to be constant with respect t…