Scope:
In an era of rapid advancements in Artificial Intelligence, the imperative to foster Trustworthy AI has never been more critical. The first “Trust What You learN (TWYN)'' workshop seeks to create a dynamic forum for researchers, practitioners, and industry experts to explore and advance the intersection of Trustworthy AI and DeepFake Analysis within the realm of Computer Vision. The workshop aims to delve into the multifaceted dimensions of building AI systems that are not only technically proficient but also ethical, transparent, and accountable. The dual focus on Trustworthy AI and DeepFake Analysis reflects the workshop's commitment to addressing the challenges posed by the proliferation of deep fake technologies while simultaneously promoting responsible AI practices. The workshop will include several talks presented by recognized and important scientists in these 2 fields. Explore the detailed information about our workshop structure, esteemed confirmed speakers, and what to expect on the website of the workshop.

 
Tracks:
Track 1: From Learning to Unlearning: The Role of Privacy in Computer Vision – Dive into privacy-centric topics like differential privacy, privacy attacks, Machine Unlearning and more!
Differential privacy
Statistical and information-theoretic notions of privacy
Privacy-preserving data sharing, anonymization, privacy of synthetic data and distillation
Privacy attacks
Federated and decentralized privacy-preserving algorithms
Privacy and bias correction in generative models
Privacy in autonomous systems
Privacy and private learning in computer vision and natural language processing tasks
Relations of privacy with fairness, transparency and adversarial robustness
Machine unlearning and data-deletion
Privacy-preserving continual learning systems