activity
20152025
most citedDeep Models Under the GAN: Information Leakage from Collaborative Deep Learning

219 citations · 268 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CR2023

Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground

Tim Ellis, Briland Hitaj, Ulf Lindqvist +3

Space systems enable essential communications, navigation, imaging and sensing for a variety of domains, including agriculture, commerce, transportation, and emergency operations b…

cs.CL2023★ 4 cited

PassGPT: Password Modeling and (Guided) Generation with Large Language Models

Javier Rando, Fernando Perez-Cruz, Briland Hitaj

Large language models (LLMs) successfully model natural language from vast amounts of text without the need for explicit supervision. In this paper, we investigate the efficacy of…

cs.CV2023

Automatic Measures for Evaluating Generative Design Methods for Architects

Eric Yeh, Briland Hitaj, Vidyasagar Sadhu +3

The recent explosion of high-quality image-to-image methods has prompted interest in applying image-to-image methods towards artistic and design tasks. Of interest for architects i…

cs.LO2023

CoProver: A Recommender System for Proof Construction

Eric Yeh, Briland Hitaj, Sam Owre +2

Interactive Theorem Provers (ITPs) are an indispensable tool in the arsenal of formal method experts as a platform for construction and (formal) verification of proofs. The complex…

cs.FL2023

Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning

John Hester, Briland Hitaj, Grant Passmore +3

Cylindrical Algebraic Decomposition (CAD) is a key proof technique for formal verification of cyber-physical systems. CAD is computationally expensive, with worst-case doubly-expon…