70 citations · 77 across the 5 of their papers we have counts for
5 papers
Theory and Practice of Quality Assurance for Machine Learning Systems An Experiment Driven Approach
Samuel Ackerman, Guy Barash, Eitan Farchi +2
The crafting of machine learning (ML) based systems requires statistical control throughout its life cycle. Careful quantification of business requirements and identification of ke…
Broadly Applicable Targeted Data Sample Omission Attacks
Guy Barash, Eitan Farchi, Sarit Kraus +1
We introduce a novel clean-label targeted poisoning attack on learning mechanisms. While classical poisoning attacks typically corrupt data via addition, modification and omission,…
Defending via strategic ML selection
Eitan Farchi, Onn Shehory, Guy Barash
The results of a learning process depend on the input data. There are cases in which an adversary can strategically tamper with the input data to affect the outcome of the learning…
Coalition Formation: Concessions, Task Relationships and Complexity Reduction
Samir Aknine, Onn Shehory
Solutions to the coalition formation problem commonly assume agent rationality and, correspondingly, utility maximization. This in turn may prevent agents from making compromises.…
Anytime Coalition Structure Generation with Worst Case Guarantees
Tuomas Sandholm, Kate Larson, Martin Andersson +2
Coalition formation is a key topic in multiagent systems. One would prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coa…