- Mark Adams
- Jeremy Banks
- Xinyu Hu
- Ryan Kerr
- Li Tao Li
- Christopher Molloy
- Weihan Ou
- Zhizhou Song
- Michael Wrana
At L1NNA, we believe that AI techniques will drive the next-generation security solutions and transform our cybersecurity landscape in a dramatic way. Keeping this in mind, we advance AI to empower human, and secure AI for reliability and explainability. Our research portfolio bridges the area of machine learning, data mining, artificial intelligence and cybersecurity. We mainly focus on the following four dimensions:
- Protection: Securing the future with AI. Protect your organization against intrusion, malware, spams, zero-day vulnerabilities, and other cyber attacks. Adapt your defense to the constantly changing attack behaviors.
- Investigation: Empowering cyber-crime investigators, malware analysts, and reverse engineers with the latest possibility of AI, to understand the provenance and the inner-working of a specific piece of artifact.
- Reliability: Promoting the reliability of AI against perturbation, poisoning and adversarial samples by studying the evasive and defensive techniques. Explore the possibility of AI specification and verification.
- Explainability: Explaining the unknown. Visualizing the AI's decision making process by post-hoc explanation and build-in transparency in AI. Facilitate the interaction between human and AI systems in the future.