4 papers
Robust Deepfake Detection, NTIRE 2026 Challenge: Report
Benedikt Hopf, Radu Timofte, Chenfan Qu +54
Robustness is a long-overlooked problem in deepfake detection. However, detection performance is nearly worthless in the real world if it suffers under exposure to even slight imag…
EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
Rui Tang, Kaiyu Xu, Pengsen Cheng +3
As LLMs continue to shape real-world applications, automated jailbreak generation becomes essential to reveal safety weaknesses and guide model improvement. Existing automatic jail…
CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
Zhihao Li, Zimo Ji, Tao Zheng +2
Cryptographic algorithms are fundamental to modern security, yet their implementations frequently harbor subtle logic flaws that are hard to detect. We introduce CryptoScope, a nov…
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu +1
Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that the fundamental reason is that data hete…