Donate today to empower cybersecurity research and nurture tomorrow's experts

Give to CSL

AI Security

AI Security presents several research challenges due to the increasing complexity and interconnectivity of these systems. As critical infrastructures, such as power grids, water supply systems, and transportation networks, become more reliant on autonomous systems and AI-driven technologies, they also become more susceptible to sophisticated cyber threats. These threats can exploit vulnerabilities at multiple levels, including communication networks, control systems, and data integrity, leading to potentially catastrophic consequences.

The primary challenge lies in developing robust, adaptive, and intelligent security mechanisms that can detect, respond to, and mitigate these threats in real-time, ensuring the continued operation and safety of critical infrastructure. By focusing on autonomous cyber protection at CSL, we aim to create resilient systems capable of withstanding and recovering from cyber-attacks, thereby safeguarding essential services and infrastructure.

Featured Publications

An Empirical Evaluation of AI Deep Explainable Tools

Paper

Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks

Paper

Proactive Detection of Query-based Adversarial Scenarios in NLP Systems

Paper

Deep Fake Detection, Deterrence and Response: Challenges and Opportunities

Paper