EDSMLS2022 program
Engineering Dependable and Secure Machine Learning Systems
Tuesday, March 1st
Information
Recording
Detecting Concept Drift in the Presence of Sparsity - A Case Study of Automated Change Risk Assessment System
Vishwas Choudhary, Binay Gupta, Anirban Chatterjee, Subhadip Paul, Kunal Banerjee and Vijay Srinivas Agneeswaran
Detecting model drift using polynomial relations
Eliran Roffe, Samuel Ackerman, Orna Raz and Eitan Farchi.
A Unified Perspective on Adversarial and Out-of-Distribution Detection in the Open World
Yeli Feng, Daniel Jun Xian Ng and Arvind Easwaran
Not available
Data-Driven Mitigation of Adversarial Text Perturbation
Data Dependent Priors for Domain Adaptation Bounds
Adam Breitholtz and Fredrik Johansson
Classifier Data Quality - A Geometric Complexity Based Method for Automated Baseline And Insights Generation
Samuel Ackerman, George Kour, Orna Raz, Marcel Zalmanovici and Ateret Anaby-Tavor