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Zhongjie Ba

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Preprint Oct 2026

ASCENT: First-Order Optimal Fine-Tuning with Recalibration for Safety--Utility Co-Enhancement

Supervised fine-tuning can substantially improve the downstream utility of large language models (LLMs) but may compromise their safety. Existing safety-preserving methods constrain downstream updates using safety-related parameters or subspaces, but mainly focus on safety preservation rather than joint safety and util...

Wei-Wei Qi, Chong-Yu Wang, Tian-Hang Zheng et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection

Advances in speech synthesis have made deepfake speeches increasingly convincing, posing growing threats to security. While self-supervised learning (SSL) based detectors achieve state-of-the-art performance, their computational demands (typically 300M+ parameters) prevent deployment on resource-constrained devices. Ex...

Miao He, Peng Cheng, Zhong-Jie Ba et al. · 0 citations
Jul 2026

Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection

By suppressing semantic interference, this paper visualize, for the first time, semantics-irrelevant texture patterns across generation paradigms and proposes DTS-Det, a detection framework that captures and leverages such relations for generalized AI-generated image detection.

Haoyu Wang, Yiming Qin, Zhongjie Ba et al. · 0 citations

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