no code implementations • 20 Mar 2017 • Julien Savaux, Julien Vion, Sylvain Piechowiak, René Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane, Marius Silaghi
Privacy has traditionally been a major motivation for distributed problem solving.
no code implementations • 22 Apr 2016 • Julien Savaux, Julien Vion, Sylvain Piechowiak, René Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane, Marius Silaghi
In these extensions we assume that the planning problem is further restricting the set of communication actions to only the communication primitives present in the corresponding solver protocols.
no code implementations • 22 Apr 2016 • Julien Savaux, Julien Vion, Sylvain Piechowiak, René Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane, Marius Silaghi
The Distributed Constraint Optimization Problem (DCOP) is a fundamental model used to approach various families of distributed problems.
no code implementations • 10 Jan 2019 • Dang Duy Thang, Toshihiro Matsui
We found giving a rotation to an adversarial example image can defeat the effect of adversarial examples.
no code implementations • 5 Aug 2019 • Dang Duy Thang, Toshihiro Matsui
Deep neural networks are being applied in many tasks with encouraging results, and have often reached human-level performance.
no code implementations • 5 Mar 2020 • Dang Duy Thang, Toshihiro Matsui
Recent findings have shown that deep learning systems are very weak to adversarial examples, an attack form that was altered by the attacker's intent to deceive the deep learning system.