DAPPr: Possibilistic Uncertainty for Reliable Deep Learning
Discover DAPPr, a novel framework improving epistemic uncertainty quantification in deep learning for more reliable predictions on unseen data.
Ensuring Fairness of Classifiers with Feature Constraints
Explore how feature constraints impact classifier fairness and learn methods to ensure fair explanations in machine learning decisions.
Jailbreaking Vision-Language Models via Visual Attacks
Discover how visual modality exploits vulnerabilities in vision-language models and learn key strategies to enhance AI safety and alignment.
Critical Linux ‘Copy Fail’ Vulnerability: How to Protect
Protect your Linux systems from the critical 'Copy Fail' vulnerability affecting millions. Learn key steps to secure Ubuntu, Debian, CentOS, and more.
Last 4 Days: 50% Off 2nd TechCrunch Disrupt 2026 Pass
Hurry! Get 50% off a second TechCrunch Disrupt 2026 pass. Boost networking & deal-making at this premier tech event. Offer ends May 8, 11:59 p.m. PT.