3 papers
cs.CR2024
EnJa: Ensemble Jailbreak on Large Language Models
Jiahao Zhang, Zilong Wang, Ruofan Wang +2
As Large Language Models (LLMs) are increasingly being deployed in safety-critical applications, their vulnerability to potential jailbreaks -- malicious prompts that can disable t…
cs.IR2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava +10
In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases cont…
cs.LG2024
Understanding Time Series Anomaly State Detection through One-Class Classification
Hanxu Zhou, Yuan Zhang, Guangjie Leng +2
For a long time, research on time series anomaly detection has mainly focused on finding outliers within a given time series. Admittedly, this is consistent with some practical pro…