Charalampos Papamanthou

Yale University

New Zero-Knowledge Arguments for Cryptocurrencies

Yevgeniy Dodis

New York University

Privacy and Integrity in the Web3

Abhishek Jain

JOHNS HOPKINS UNIVERSITY

Crowd-Sourced Secure Machine Learning

 

Muthuramakrishnan 

Venkitasubramaniam

Georgetown University

Lightweight Publicly Verifiable Distributed Privacy-Preserving Machine Learning

 

Elaine Shi

Carnegie Mellon University

Scaling Privacy-Preserving AI to Big Data



 

Jun-Yan Zhu

Carnegie Mellon University

Large-Scale Dataset Distillation for Privacy-Preserving Machine Learning


 

Steven Wu

Carnegie Mellon University

Advancing Privacy-Preserving Data Sharing with Synthetic Data Generation

Chien-Ju-Ho

Washington University in St. Louis

Forming Representative Cohorts: Sequential Recruitment under Uncertainty

Vukosi Marivate

University of Pretoria

Topic classification modelling of code-mixed and code-switched language for low-resource South African languages




 

Quanquan Gu

University of California, Los Angeles

Multi-Objective and Causal Reinforcement Learning for Responsible and Explainable AI in Finance


 

Lin Tan

Purdue University

Domain-specific Neural Networks for Improving Code Quality and Productivity


 

Himabindu Lakkaraju

Harvard University

Understanding and Mitigating Privacy Risks of Algorithmic Recourse


 

Xiaodan Zhu

Department of Electrical and Computer Engineering, Queen's University

Exploring Robust Reasoning Models for Financial Text





 

Zachary Lipton

Carnegie Mellon University

Interactive and Trustworthy Neural Summarization

Gilad Asharov

Bar-Ilan University

FinSec: Secure Analytics over Financial Data


 

Sarit Kraus

Bar Ilan University

Explanations of AI-Based Resource Allocations 


 

David Byrd

Bowdoin College

Multi-Agent Market Simulation to Reduce Inadvertent Adoption of Malappropriate Behaviors in Intelligent Trading Algorithms