10 papers
A Benchmark Dataset for MLLM-Generated Image Detection: GPT Image2 & Nano Banana2
Zirui Zhang, Yinbo Yu, Donghai Guan +3
The realism of images generated by multimodal large language models (MLLMs), such as GPT Image2 and Nano Banana2, has improved rapidly in recent years. Compared with early generati…
Fast and Lightweight Backdoor Detection via Head Random Probing
Yinbo Yu, Xueyu Yin, Jing Fang +4
Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gradients, or iterative trigge…
Lightweight and Fast Backdoor Model Detection
Yinbo Yu, Jing Fang, Xuewen Zhang +4
Deep neural networks (DNN), despite their remarkable performance, are highly vulnerable to backdoor attacks. Existing defenses mainly rely on activation anomaly analysis or trigger…
BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning
Yinbo Yu, Xueyu Yin, Jiadai Wang +4
Backdoor attacks pose a serious threat to deep reinforcement learning (DRL). Current defenses typically rely on reward anomalies to reverse-engineer triggers and model finetuning t…
A cross-modal network for facial expression recognition
Chunwei Tian, Jingyuan Xie, Qi Zhang +3
Deep neural networks enriched with structural information have been widely employed for facial expression recognition tasks. However, these methods often depend on hierarchical inf…
A Cosine Network for Image Super-Resolution
Chunwei Tian, Chengyuan Zhang, Bob Zhang +3
Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiv…