Artificial Adversarial Intelligence

cybersecurity, disinformation, evolutionary algorithms, deep learning, coevolution


Artificial Adversarial Intelligence

Understanding Programs & Programming

Data Analytics


Our goal is to computationally replicate Adversarial Intelligence: the intent, strategy, and tactics that are featured when adversaries compete and learn.

ALFA News!

Dr. Una-May O'Reilly in Forbes

How Will Large Language Models Impact Cybersecurity?

Una-May O'Reilly is the leader of ALFA Group at MIT-CSAIL. ALFA's technical approaches include machine learning, evolutionary algorithms, and modsim (modeling and simulation). Dr. O'Reilly conducts research in Artificial Adversarial Intelligence and applies her studies to cyber and information security. She educates the forthcoming generation of data scientists and security specialists, teaching them how to develop state of art techniques that ensure security. Her passion is securing cyber systems and information about climate action.



Diversity Drives Innovation and Learning

At the Anyscale Learning For All (ALFA) Group, we mean Anyscale Learning for ALL. ALFA is dedicated to cultivating an inclusive culture that supports, promotes, and empowers diverse voices in Computer Science & AI. Our focus is to improve and build machine learning, AI, and data analytics technology that works for everyone.

Representation matters.

We want our research to be representative of everyone who benefits and learns from it. We value people with different experiences, perspectives, and backgrounds - it’s the cornerstone of our approach to learning and research. We celebrate diversity along many axes: race, religion, ethnicity, age, sex, national origin, sexual orientation, gender identity, gender expression, genetic disposition, neurodiversity, disability, veteran status and any other aspect which makes you unique.



ALFA's research would not be possible without the past and ongoing support of our industry sponsors
ALFA sponsors past and present
The views, opinions and positions expressed by ALFA Group and on this site are theirs alone, and do not necessarily reflect the views, opinions or positions of their sponsors
ALFA Group is formerly the Evolutionary Design and Optimization (Evo-DesignOpt) Group


Recent News



ALFA member Shashank Srikant (aka "Shash") defends his Ph.D Thesis!

Understanding Computer Programs - Computational and Cognitive Perspectives



Seeking Deep Understanding in Machine Learning
Podcast Spotlight Una-May O'Reilly
MIT-CSAIL Alliances


ALFA welcomes a new postdoc, Stephen Moskal.
Stephen is a graduate of Rochester Institute of Technology. His research career throughout his MS and PhD degrees involved the understanding of cyber attack behaviors, how to identify them, and then simulate their impacts. His dissertation (defended in Dec. 2021) called “HeAT-PATRL” leveraged multiple deep learning AI techniques to discover cyber attack campaigns with in real-world IDS (Intrusion Detection Systems) dataset. His work focuses on practical and deployable solutions to cyber attack problems.




Adversarial Intelligence
Una-May O'Reilly
Artificial Intelligence in the Liberal Arts Series, Amhurst College, 2021



ALFA welcomes new PhD Candidates Aruna Sankaranarayanan Michael Wang


Artificial Adversarial Intelligence
Una-May O'Reilly
Keynote, UK Workshop on Computation Intelligence, UKCI, 2021. 



ALFA PhD Candidate, Shashank Srikant's research in collaboration with the MIT-IBM Watson AI Lab is featured in The Economist and WIRED!

 AI is transforming the coding of computer programs (full article)

 Now for AI’s Latest Trick: Writing Computer Code (full article)



ALFA welcomes summer UROPs: Ness Vera, Muhua Xu, Eileen Li. We bid farewell to research intern, Sasha Shashkov.

Congratulations to Diana Flores for the completion of her M.Eng degree. 


Artificial Adversarial Intelligence: Code Model Attacks and Robustness
Una-May O'Reilly
Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Workshop at CVPR, 2021



ALFA PhD Candidate, Shashank Srikant's research in collaboration with the MIT-IBM Watson AI Lab is featured in MIT News! Full Article: Toward deep-learning models that can reason about code more like humans




Cognitive Neuroscience Helping AI Understand Computer Programs
Shashank Srikant

MIT Inside Track, Meet the Researcher
MIT Technology Review, EmTech Digital, Cambridge MA



Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant

MIT-IBM Watson AI lab, Cambridge MA


Enabling Autonomous Cyber Security
Spotlight on Cyber Research: From Lab-to-Market

Una-May O'Reilly
MIT Technology Review in Association with Dartrace

CSAIL Alliances Student Spotlight: Shashank Srikant, PhD Candidate, discusses his research in understanding programs and programming. 



Artificial Adversarial Intelligence
Una-May O'Reilly
Mongomery Blair High School Computer Science Club, Silver Spring MD, 2021

Artificial Adversarial Intelligence
Una-May O'Reilly
Weekeng, IEEE Student Branch, Istanbul Turkey, 2021

ALFA welcomes new students to students this semester: Avital Baral, MEng, Helen Landwehr, TPP Lincoln Laboratory Military Fellow, and UROPs: Haimoshri Das, Xinhe Zhou, Ray Dedhia, Evan Rubel. Sasha Shashkov returns as a reserach intern. 



Getting Adversarial AI to Secure Us From Hackers
Una-May O'Reilly
India Science Festival, 2021

We bid farewell to Postdoc Associate, Chathika Gunaratne. Chathika is off on a new adventure and has taken a positon at Oakridge National Lab. 

ALFA says goodbye to PhD Candidate, Bryn Reinstadler. Bryn will be taking up a position at Novartis.

ALFA welcomes new member Andrew Grant, Game & AI Developer.