The AAAI-24 Workshop on
Artificial Intelligence for Cyber Security (AICS)

The workshop will focus on the application of artificial intelligence to problems in cyber security. While AI and ML have shown astounding ability to automatically analyze and classify large amounts of data in complex scenarios, the techniques are not still widely adopted in real world security settings, especially in cyber systems. The workshop will address technologies and their applications in security, such as, machine learning, game theory, natural language processing, knowledge representation, automated and assistive reasoning and human machine interactions.

This year the workshop emphasis will be on applications of generative AI, including LLMs, to cybersecurity problems as well as adversarial attacks on such models.

In general, AI techniques are still not widely adopted in many real world cyber security situations. There are many reasons for this including practical constraints (power, memory, etc.), lack of formal guarantees within a practical real world model, and lack of meaningful explanations. Moreover, in the face of improved automated systems security (better hardware security, better cryptographic solutions), cyber criminals have amplified their efforts with social attacks such as phishing attacks and spreading misinformation, some of which are now easier to construct using LLMs and other generative AI techniques. These large-scale attacks are cheap and only need to succeed for a tiny fraction of all attempts to be effective. These lead to a complex cybersecurity battlefield in which actors that do not adopt the latest advances in security or AI can suffer huge losses. We invite work at the intersection of AI (all AI topics in AAAI) and cybersecurity that help improve the understanding of this complex space.

Submission:
https://cmt3.research.microsoft.com/AICS2024/
Format:
Full-length papers (min of 6 pages, up to overall 8 pages in AAAI format)

Submissions are not anonymized. Please submit PDF via the easychair link above by November 30, 2023, AOE.
A fastrack for AAAI main conference unloved papers has a later deadline of December 10, 2023, AOE

Topics of interest include, but are not limited to:
- Machine learning (including RL) approaches to make cyber systems secure and resilient
-- Natural language processing techniques
-- Anomaly/Threat detection techniques
-- Big Data noise reduction techniques
-- Adversarial learning
-- Deception in Learning
-- Human behavioral modeling, being robust to human errors
- Formal reasoning, with focus on human behavior element, in cyber systems
- Game Theoretic reasoning in cyber security
- Adversarial robust AI metrics
- Multi-agent interaction/agent-based modeling in cyber systems
- Modeling and simulation of cyber systems and system components
- Decision making under uncertainty in cyber systems
- Automation of data labeling and ML techniques that learn to learn in security
- Quantitative human behavior models with application to cyber security
- Operational and commercial applications of AI in security
- Explanations of security decisions and vulnerability of explanation techniques
- The use of foundation models, e.g. LLM, in cybersecurity.

Organizers:
James Holt, Laboratory for Physical Sciences, USA
Edward Raff, Booz Allen Hamilton, USA
Ahmad Ridley, National Security Agency, USA
Dennis M. Ross, MIT Lincoln Laboratory, MA, USA
Ankit Shah, University of South Florida, USA
Arunesh Sinha, Rutgers University, USA
Diane P. Staheli, MIT Lincoln Laboratory, MA, USA
Allan Wollaber, MIT Lincoln Laboratory, USA