LAST-X Workshop

LLM Assisted Security and Trust Exploration

Workshop Introduction

The LLM Assisted Security and Trust Exploration (LAST-X) workshop will focus on the application of emerging Large Language Model (LLM) techniques in the core areas of computer hardware and software security. We will provide a venue for researchers from both industry and academia to discuss the challenges and solutions in utilizing LLMs for hardware and software security and testing. We will also host a student competition about LLM’s application in security-related challenges.

LLMs have been widely applied to different research areas in computer security and system research. The securityresearch community, alongside other hardware, software engineering, and system research communities, haswitnessed a significant increase in the number of studies leveraging LLMs to enhance the performance of hardwareand software security and testing tools. Consequently, the LAST-X Workshop anticipates significant interest andparticipation from diverse communities, facilitating invaluable exchanges of insights and methodologies.

Organizers

Chairs

  • Hamed Okhravi — MIT Lincoln Lab
  • Farinaz Koushanfar — University of California, San Diego
  • Houman Homayoun — University of California, Davis
  • Soheil Salehi — University of Arizona
  • Chongzhou Fang — Rochester Institute of Technology

Technical Program Committee

  • Ava Hedayatipour — California State University, Long Beach
  • Banafsheh Saber Latibari — University of Arizona
  • Francesco Restuccia — University of California, San Diego
  • Goutham Reddy Alavalapati — University of Illinois, Springfield
  • Hadi Kamali — University of Central Florida
  • Hossein Sayadi — California State University, Long Beach
  • Jeyavijayan Rajendran — Texas A&M University
  • Khaza Anuarul Hoque — University of Missouri
  • Kimia Azar — University of Central Florida
  • Matthew Revelle — Montana State University
  • Nader Sehatbakhsh — University of California, Los Angeles
  • Pratik Satam — University of Arizona
  • Priyam Biswas — Intel
  • Rana Elnaggar — Intel
  • Rozhin Yasaei — University of Arizona
  • Shaahin Angizi — New Jersey Institute of Technology
  • Sicong Shao — University of North Dakota
  • Sohrab Aftabjahani — Intel
  • Zhiyuan Yu — Texas A&M University