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