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Subtitle
Projects
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All Projects
Projects
Enhancing Security in LLMs
We build next-generation defenses to protect users and organizations from prompt-injection attacks on AI tools.
Projects
Robust Deep Learning for Threat Detection
We aim to make deep learning models more trustworthy and useful for scientific applications involving complex and dynamic data.
Projects
Reducing Digital Inequality
We take a human-centered approach to equip at-risk youth with the skills and confidence to navigate online sexual predation.
Projects
AI Tools to Empower Adolescents
We address risks like cyberbullying, harassment, and predatory behavior with tools that are context-aware, participatory, and empowering.
Projects
Detecting Adolescent Online Risks
We develop privacy-preserving, context-aware algorithms to improve the accuracy and fairness of online risk detection.
Projects
Co-Designed Online Safety for Teens
We advance online safety for teens by conducting human-centered, interdisciplinary research and developing strategies to build more resilient digital ecosystems.
Projects
Training Secure and Robust DNNs
We explore novel methods for training robust Deep Neural Networks (DNNs) that are free from security violations.
Projects
DNN Attack Detection
We are creating tools to detect backdoor attacks on Deep Neural Networks (DNNs).
Projects
AI for High-Energy Physics
We speed the deployment and efficiency of AI models in high-energy physics by embedding physics knowledge into the machine learning process.
Projects
AI Algorithms for Science at the Edge
We accelerate scientific discovery by bringing intelligent ML-based data reduction and processing as close as possible to the data source.
Projects
Linear Algebra for Neural Networks
We are extending neural networks to a broader range of applications by more effectively leveraging linear algebra.
Projects
Paving the Way for Next-Gen Scientific Software
We are creating tools to simplify the transition to next-generation scientific software infrastructure.
Projects
Automating Algorithm Optimization
We are laying the foundations to revolutionize the fields of randomized numerical linear algebra and large-scale numerical optimization.
Projects
User Feedback for GenAI
We are developing a framework for providing user feedback on the outputs of generative AI features.
Projects
Bystander Privacy in Smart Homes
We study the privacy implications of smart home devices for bystanders—people who encounter these devices but are not their primary users.
Get in touch
Want to discuss opportunities to work with ICSI? We’d love to hear from you.