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Amazon-Virginia Tech Initiative

Virginia Tech and Amazon recently announced their partnership to advance research and innovation in artificial intelligence and machine learning. The Amazon – Virginia Tech Initiative for Efficient and Robust Machine Learning supports machine learning-focused research projects, doctoral student fellowships, community outreach, and an establishment of a shared advisory board. Housed in the College of Engineering and led by the Sanghani […]

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Label-Only Model Inversion Attacks via Boundary Repulsion

Adversarial Contrastive Learning by Permuting Cluster Assignments

Probing Script Knowledge from Pre-Trained Models

Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection

The Art of Prompting: Event Detection based on Type Specific Prompts

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation