LebNet/LAU AI Webinar Series: Immunizing Images against AI Manipulation

Join us for an exciting webinar co-organized with LAU, featuring Alaa Khaddaj as he shares one of his PhD work on immunizing images against manipulation by generative AI models.

With diffusion-based image generators on the rise, the threat of malicious content creation is real. Alaa will present two powerful techniques that embed imperceptible adversarial signals into images—making them resistant to AI editing—and discuss the policy requirements for ensuring the future success of these methods.

Don’t miss this vital conversation at the crossroads of AI safety, security, and digital content integrity.

Register now by clicking to the left to receive a Webex link and info!

About Alaa Khaddaj: 

Alaa Khaddaj is a research scientist at OpenAI. He received his Bachelor of Engineering in Electrical and Computer Engineering from AUB, and his MS and PhD in Electrical Engineering and Computer Science from MIT. During his PhD, Alaa worked, under the supervision of Aleksander Madry, on developing reliable Machine Learning models. His research focused on developing the understanding and tools that enable real-world deployment of machine learning models at scale in a reliable and responsible way. In addition, Alaa was a VC fellow at E14 Fund, an MIT-affiliated VC, where he helped with identifying potential startups within the MIT community, conducting due diligence on potential investments and aiding E14 portfolio companies in specific challenges.