15 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data
Zixuan Zhu, Rui Wang, Cong Zou +1
Recently, backdoor attacks have posed a serious security threat to the training process of deep neural networks (DNNs). The attacked model behaves normally on benign samples but ou…
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing, Rui Wang, Wenqi Ren +2
Adversarial patch attacks present a significant threat to real-world object detectors due to their practical feasibility. Existing defense methods, which rely on attack data or pri…
Joint Learning of Localized Representations from Medical Images and Reports
Philip Müller, Georgios Kaissis, Congyu Zou +1
Contrastive learning has proven effective for pre-training image models on unlabeled data with promising results for tasks such as medical image classification. Using paired text (…
PCGAN: Partition-Controlled Human Image Generation
Dong Liang, Rui Wang, Xiaowei Tian +1
Human image generation is a very challenging task since it is affected by many factors. Many human image generation methods focus on generating human images conditioned on a given…