18 citations · 24 across the 14 of their papers we have counts for
5 papers · 1 filter
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes
Alessio Russo, Alexandre Proutiere
We investigate the problem of designing optimal stealthy poisoning attacks on the control channel of Markov decision processes (MDPs). This research is motivated by the recent inte…
Some Ethical Issues in the Review Process of Machine Learning Conferences
Alessio Russo
Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issu…
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study
Alessio Russo, Marco Molinari, Alexandre Proutiere
This work investigates the feasibility of using input-output data-driven control techniques for building control and their susceptibility to data-poisoning techniques. The analysis…
Poisoning Attacks against Data-Driven Control Methods
Alessio Russo, Alexandre Proutiere
This paper investigates poisoning attacks against data-driven control methods. This work is motivated by recent trends showing that, in supervised learning, slightly modifying the…
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems
Alessio Russo, Alexandre Proutiere
This work investigates the problem of analyzing privacy of abrupt changes for general Markov processes. These processes may be affected by changes, or exogenous signals, that need…