CAIDA/TrustML Workshop – ICML Visitors @ UBC, July 2025
July 15, 2025, 9:30 am to 5:00 pm
KAIS 2020/2030
For more information please visit: https://caida.ubc.ca/event/caidatrustml-2025-icml-visits
Speakers Accepted Posters Organizers Pictures
Speakers
Accepted Posters
- Jingjing Zheng, The University of British Columbia: "Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework"
- Abraham Chan, The University of British Columbia: "Hierarchical Unlearning Framework for Multi-Class Classification"
- Tony Mason, The University of British Columbia: "Beyond Constraint: Emergent AI Alignment Through Narrative Coherence in the Mallku Protocol"
- Yash Mali, The University of British Columbia: "Natural language interface for medical guidelines"
- Gargi Mitra, The University of British Columbia: "Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs"
- Harshinee Sriram, The University of British Columbia: "Multimodal Classification of Alzheimer’s Disease by Combining Facial and Eye-Tracking Data"
- Sky Kehan Sheng, The University of British Columbia: "The erasure of intensive livestock farming in text-to-image generative AI"
- Grigory Malinovsky, King Abdullah University of Science and Technology: "Randomized Asymmetric Chain of LoRA"
- Nicholas Richardson, The University of British Columbia: "Unsupervised Signal Demixing with Tensor Factorization"
- Michael Tegegn, The University of British Columbia: "The Illusion of Success: Value of Learning-Based Android Malware Detectors"
- Yingying Wang, The University of British Columbia: "Student Experience of Using Generative AI in a Software Engineering Course — A Mixed-Methods Analysis"
- Sarah Dagger, The University of British Columbia: "Explain Before You Patch: Generating Reliable Bug Explanations with LLMs and Program Analysis"
- Masih Beigi Rizi, The University of British Columbia: "Quantifying Prompt Ambiguity in Large Language Models"
- Mohamad Chehade, University of Texas at Austin: "LEVIS: Large Exact Verifiable Input Spaces for Neural Networks"
Organizers
Pictures from the Event
