Anyscale Learning For All (ALFA)

robust-adv-malware-detection

[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly

BRON

"Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Hunting" by Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly

lipizzaner-gan

[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly

adversarial-code-generation

[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly

malware_challenge

[AdvML@KDD 2019] Robust Malware Detection Challenge

bayesopt-nash-eq

neural-program-comprehension

[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko

code-representations-ml-brain

[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.

adv-malware-viz

"On Visual Hallmarks of Robustness to Adversarial Malware" by Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly

ABL-Unity3D

ABL-Unity3D is a GUI-based and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning (ABL) research.

AI4CyberMLHat_2022

Code for AI4CyberMLHat 2022 workshop paper

CoLAB-Workshop-2019

CoLAB Workshop 2019

darkhorseSDN

DarkHorse SDN

ML4Cyber2022

Code used for ML4Cyber2022 publication

blackbox-adv-examples-signhunter

A repository for the query-efficient black-box attack, SignHunter

RaceInjector-counterexamples

[SOAP 2023, PLDI] Counterexamples generated by RaceInjector

reckless-minimax

[LeGO/GOW 2018] "On the Application of Danskin’s Theorem to Derivative-Free Minimax Optimization" by Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly

AI4Cyber_Wkshp_LLM_QA_Paper_2023

AI4Cyber KDD Workshop 2023 Code for Assessing LLM QA Paper 2023

beacons-in-code-comprehension

CLAW-SAT

[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly

EEG_coma

lipizzaner-web

ALFA web

SNAPT

Simple Network Advanced Persistance Threat (SNAPT)

STGP-Sharp

A strongly-typed genetic programming implementation in C#