TrustML Event @ UBC, March 2025

March 27, 2025, 12:00 pm to 5:00 pm

KAIS 2020/2030

Overview Registration Speakers Call for Briefings/Posters Program Organizers Pictures


Overview

The TrustML Event @ UBC brings together leading researchers and practitioners interested in building trustworthy machine learning systems: systems that are reliable, secure, explainable, and ethical. The workshop will feature invited talks, tech briefings, a poster session, and other discussion and networking opportunities with the research community in this field. The Audience Choice Award for the best poster/tech briefing will be given!

Location: Fried Kaiser (KAIS) building, Room 2020/2030, 2332 Main Mall, UBC Vancouver campus (the nearest parkade is the UBC Health Sciences Parkade

Register Now 

 

 Registration deadline: March 21, 2025

Invited Speakers

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CroppedAziz

Prof. Aziz Z. Huq

      Law, The University of Chicago        
 

"The International and Geopolitical Context of AI Regulation"

Talk Details

Homepage

 

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Eric

Dr. Eric Martínez

Law and Cognitive Science, The University of Chicago

"Reasoning in Large Language Models: Insights for and from Human Cognition"

Talk Details

Homepage

 

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rezaCropped

Prof. Reza Shokri

Computer Science, National University of Singapore

"Tracing Data in AI: Auditing Data Privacy with Membership Inference"

Talk Details

Homepage

 


Call for Tech Briefings and Posters

The TrustML Event @ UBC is accepting technical briefing submissions, for 10 to 15 minutes talks, as well as poster submissions. To submit a briefing, a poster, or both, please fill out the form below and include a title and a short description of your work. The submissions will be evaluated based on their relevance to the workshop theme. Don't miss the chance to showcase your research and connect with like-minded individuals at the TrustML Event @ UBC!

The winner receives a prize of CAD 120 and a certificate from the TrustML Research Excellence Cluster. 

Important Dates:
Submission deadline: March 14, 2025
Acceptance notifications: March 21, 2025

Submit Your Briefing/Poster Proposal Today

Workshop Program 

*Pacific Standard Time (US & Canada)

Time 
Session
11:30
Registration Opens
12:00-13:00
Welcome, Lunch, and Mingling 
13:00-13:30
Introductions and Poster Briefings
13:30- 14:10
Talk 1 (Virtual, Chair: Julia Rubin)

Eric Martínez, The University of Chicago: "Reasoning in Large Language Models: Insights for and from Human Cognition"

14:10 - 14:40
Tech Briefings (Chair: Mathias Lécuyer)
  • Prof. John-Jose Nunez, The University of British Columbia: "A New Method to Interpret Predictive Models in Natural Language Processing Across Multiple Documents"
  • Prof. Evan Shelhamer, The University of British Columbia: "Test-Time Adaptation for Robust Visual Recognition"
  • Dr. Gargi Mitra, The University of British Columbia: "PRIME: A Comprehensive Threat Modeling Framework for ML-enabled Medical Devices"
14:40 - 15:30
Coffee Break, Posters
  • Chun-Yin Huang, The University of British Columbia, "DESA: Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchor"
  • Wenlong Deng, The University of British Columbia, "DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models"
  • Tina Behnia, The University of British Columbia, "Implicit Geometry of Next-Token Prediction: From Language Sparsity Patterns to Model Representations"
  • Masih Beigi Rizi, The University of British Columbia, "Instruction Ambiguity in Large Language Models" (Audience Choice Award)   
  • Ritu Thombre, The University of British Columbia, "Quantifying Explainability and Applying it to Quanvolutional Neural Networks"
  • Amirreza Soleimanbeigi, The University of British Columbia, "Membership Inference Attack vs Model Inversion Attack in Non-IID Datasets"
  • Rudransh Kumar, The University of British Columbia, "Classification using Reinforcement Learning & Semantic-Preserving Transforms (WiP)"
  • Sarah Dagger, The University of British Columbia, "Grounding LLM Code Fault Explanations with Symbolic Reasoning"
  • Gargi Mitra, The University of British Columbia, "PRIME: A Comprehensive Threat Modeling Framework for ML-enabled Medical Devices"
  • Michael Tegegn, The University of British Columbia, "The Effect of Data on ML-based Android Malware Detection"
  • Andrew Raitt, The University of Washington, "The Black Box’s Burden: Evaluating Legal Liability Frameworks for Machine Learning Systems"
15:30 - 16:10
Talk 2 (Virtual, Chair: Souradeep Dutta)

Prof. Aziz Z. Huq, The University of Chicago: "The International and Geopolitical Context of AI Regulation"

16:10 - 16:50  
Talk 3 (Virtual, Chair: Simon Oya)

Prof. Reza Shokri, National University of Singapore: "Tracing Data in AI: Auditing Data Privacy with Membership Inference"

16:50 - 17:00
Summary and Closing

Organizers

Julia
Prof. Julia Rubin

TrustML Cluster Lead

The University of British Columbia

Homepage

 

sahar2
Sahar Badihi            

TrustML Cluster Coordinator

The University of British Columbia 

Homepage

 

 


Pictures from the Event 

 

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