CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models

1 code implementation • 19 Apr 2024 • Manish Bhatt, Sahana Chennabasappa, Yue Li, Cyrus Nikolaidis, Daniel Song, Shengye Wan, Faizan Ahmad, Cornelius Aschermann, Yaohui Chen, Dhaval Kapil, David Molnar, Spencer Whitman, Joshua Saxe

We present BenchmarkName, a novel benchmark to quantify LLM security risks and capabilities.

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

no code implementations • 7 Dec 2023 • Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe

This paper presents CyberSecEval, a comprehensive benchmark developed to help bolster the cybersecurity of Large Language Models (LLMs) employed as coding assistants.

Language Modelling Large Language Model

Image-based Face Detection and Recognition: "State of the Art"

no code implementations • 26 Feb 2013 • Faizan Ahmad, Aaima Najam, Zeeshan Ahmed

The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy, better response rate as an initial step for video surveillance.

Face Detection Face Recognition