Devdatt Dubhashi. How machine learning can support the development of cognitive and physical autonomous systems, in self-driving vehicles. Conference track Autonomous Vehicles and Active Safety at Vehicle electronics and Connected Devices. 2016.
Devdatt Dubhashi. Machine Learning and BigData@Chalmers. Andra AP Fonden. October, 2017.
Thibaud Antignac. From (informal) privacy regulations to (formal) techniques. FMpriv workshop, Limassol, Cyprus. November, 2016 (remote).
Raúl Pardo. Formalising Privacy Policies in Social Networks. FMpriv workshop, Limassol, Cyprus. November, 2016 (remote).
Thibaud Antignac. Privacy: bridging the gap between regulations and technical solutions. IoTSec Consortium F2F meeting, Halden, Norway. September, 2016.
Thibaud Antignac. Formal Approches to Privacy by Design. EA LIST seminar, Palaiseau, France. July, 2016.
David Sands. Data Minimisation. NII Shonan meeting on Logic and Verification Methods in Security and Privacy. October, 2015.
David Sands. Getting Personal with Differential Privacy. Keynote speaker at 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. September, 2015.
Fredrik Johansson. Research visit to Tony Jebara's group at Columbia University, and to David Sontag's Clinical Machine Learning Group at New York University. From September 2015 to January 2016. Funded partially by the Sweden-America Foundation.
Raúl Pardo and Gerardo Schneider. Research visit
to Gordon
Pace's group (Deparment of Computer Science -
University of Malta) to discuss issues related to
runtime monitoring of evolving privacy policies in
social networks. From 26th November to 5th December,
2015.