EDSMLS2022 program

Engineering Dependable and Secure Machine Learning Systems

Tuesday, March 1st

Introduction

08:00 AM - 08:10 AM

Vishwas Choudhary, Binay Gupta, Anirban Chatterjee, Subhadip Paul, Kunal Banerjee and Vijay Srinivas Agneeswaran


Detecting Concept Drift in the Presence of Sparsity - A Case Study of Automated Change Risk Assessment System

08:10AM - 08:40AM

Eliran Roffe, Samuel Ackerman, Orna Raz and Eitan Farchi.


Detecting model drift using polynomial relations

08:40AM - 09:10AM

Yeli Feng, Daniel Jun Xian Ng and Arvind Easwaran


A Unified Perspective on Adversarial and Out-of-Distribution Detection in the Open World

09:10AM - 09:40AM

Break

09:40 AM - 10:00 AM

Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar and Igor Markov

Data-Driven Mitigation of Adversarial Text Perturbation

10:00AM - 10:30AM

Adam Breitholtz and Fredrik Johansson

Data Dependent Priors for Domain Adaptation Bounds

10:30AM - 11:00AM

Samuel Ackerman, George Kour, Orna Raz, Marcel Zalmanovici and Ateret Anaby-Tavor

Classifier Data Quality - A Geometric Complexity Based Method for Automated Baseline And Insights Generation

11:00AM - 11:30AM