Latest
- Demo: TOSense – What Did You Just Agree to?
- AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI
- TOSense: We Read, You Click
- Robust Encrypted Inference in Deep Learning: A Pathway to Secure Misinformation Detection
- R$$^2$$S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild
- Robust multi-label surgical tool classification in noisy endoscopic videos
- Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning
- Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
- Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses
- Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
- Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
- Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
- Tamp-X: Attacking explainable natural language classifiers through tampered activations
- All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings
- HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios