244 citations
- École Polytechnique Fédérale de LausanneCH4 papers
- Microsoft Research (United Kingdom)GB3 papers
- University of HelsinkiFI3 papers
- Arizona State UniversityUS2 papers
- Carnegie Institution for ScienceUS2 papers
- Carnegie Mellon UniversityUS2 papers
- Carnegie ObservatoriesUS2 papers
- Charles UniversityCZ2 papers
- Eindhoven University of TechnologyNL2 papers
- ETH ZurichCH2 papers
- Georgia Institute of TechnologyUS2 papers
- Google (United States)US2 papers
64 papers
A Secure, Manifest-Based Framework for Delegated Privilege Promotion
Rajarshi Chowdhury, Akshay Shah
Large-scale enterprise software systems commonly run as unprivileged service accounts to enforce least privilege, yet still depend on a small set of privileged components -- such a…
AFGNN: API Misuse Detection using Graph Neural Networks and Clustering
Ponnampalam Pirapuraj, Tamal Mondal, Sharanya Gupta +3
Application Programming Interfaces (APIs) are crucial to software development, enabling integration of existing systems with new applications by reusing tried and tested code, savi…
Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know"
Dhruv Madhwal, Lyuxin David Zhang, Dan Roth +2
Large language models often struggle to recognize their knowledge limits in closed-book question answering, leading to confident hallucinations. While decomposed prompting is typic…
Smart IoT-Based Leak Forecasting and Detection for Energy-Efficient Liquid Cooling in AI Data Centers
Krishna Chaitanya Sunkara, Rambabu Konakanchi
AI data centers which are GPU centric, have adopted liquid cooling to handle extreme heat loads, but coolant leaks result in substantial energy loss through unplanned shutdowns and…
MEMS Switch Enabled Spatiotemporally Modulated Isolators
Connor Devitt, Yong-bok Lee, Pavitra Jain +4
This work reports the simulation, design, and implementation of a compact MEMS switch based spatiotemporally modulated (STM) bandpass filtering isolator to improve self-interferenc…
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
Praphul Singh, Charlotte Dzialo, Jangwon Kim +4
Ensuring clinical data privacy while preserving utility is critical for AI-driven healthcare and data analytics. Existing de-identification (De-ID) methods, including rule-based te…