2 citations · 3 across the 6 of their papers we have counts for
6 papers
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +1
As a new and promising approach, existing machine unlearning (MU) works typically emphasize theoretical formulations or optimization objectives to achieve knowledge removal. Howeve…
A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System
Jiale Guo, Suizhi Huang, Mei Li +8
The integration of Large Language Models (LLMs) into software engineering has driven a transition from traditional rule-based systems to autonomous agentic systems capable of solvi…
The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
Mingrui Liu, Sixiao Zhang, Cheng Long +1
As Large Language Models (LLMs) become integral to computing infrastructure, safety alignment serves as the primary security control preventing the generation of harmful payloads.…
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Chin Yuen Kwok, Jia Qi Yip, Zhen Qiu +2
Audio deepfake detection (ADD) models are commonly evaluated using datasets that combine multiple synthesizers, with performance reported as a single Equal Error Rate (EER). Howeve…
Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC)
Nan Li, Wanting Yang, Marie Siew +4
Diffusion models (DMs) have emerged as powerful tools for high-quality content generation, yet their intensive computational requirements for inference pose challenges for resource…
Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
Qianru Zhang, Yuting Sun, Honggang Wen +6
Frequency-domain analysis has emerged as a powerful paradigm for time series analysis, offering unique advantages over traditional time-domain approaches while introducing new theo…