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Found 5 papers, 3 papers with code
LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks
We explore the intersection of LLMs and penetration testing to gain insight into their capabilities and challenges in the context of privilege escalation.
Getting pwn'd by AI: Penetration Testing with Large Language Models
The field of software security testing, more specifically penetration testing, is an activity that requires high levels of expertise and involves many manual testing and analysis steps.
Learning to Learn to Predict Performance Regressions in Production at Meta
Catching and attributing code change-induced performance regressions in production is hard; predicting them beforehand, even harder.
Counterfactual Explanations for Models of Code
We integrate counterfactual explanation generation to models of source code in a real-world setting.
Enabling Collaborative Data Science Development with the Ballet Framework
While the open-source software development model has led to successful large-scale collaborations in building software systems, data science projects are frequently developed by individuals or small teams.
