BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:Eventi DIAG BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:STANDARD DTSTART:20191027T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20190331T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.18220.field_data.0@www.ugov-ricerca.uniroma1.it DTSTAMP:20260409T033343Z CREATED:20190716T144013Z DESCRIPTION:Processing and encryption of content are generally considered s equential and independent operations. In certain scenarios\, it is\, howev er\, desirable to carry out processing directly on encrypted data to prese rve the privacy of the data owners. In this direction\, the cryptographic community has provided several secure computation tools and\, in the last 10 years\, we observed significant improvements in the related cryptograph ic techniques. However\, mainly due to their high complexity\, only few re ady-to-go fully integrated solutions are currently available. For this rea son there is the need of an engineering approach in order to optimize the protocols and satisfy both privacy\, accuracy and complexity requirements. This seminar first concisely summarizes some of the cryptographic primitiv es used in existing solutions to processing of encrypted data\, and discus ses implications of the security requirements on these solutions. The semi nar then proposes an approach for the development of efficient privacy pre serving applications\, focusing on some application domains in which secur e data processing has been taken up as a challenge\, namely\, analysis of biomedical data\, remote biometric recognition\, and privacy-preserving Io T device coordination. Finally\, the seminar discusses the challenges and open issues in the field of secure data processing and other research dire ctions. DTSTART;TZID=Europe/Paris:20190718T090000 DTEND;TZID=Europe/Paris:20190718T090000 LAST-MODIFIED:20200212T002457Z LOCATION:aula A2 SUMMARY:Computing with private data - Data Processing in the Encrypted Doma in - Riccardo Lazzeretti\n\n\n \n \n\n \n\n\nRiccardo\n\n\nLazzeretti \n\n \n\n \n\n\n\n\n\nProfessore associato\n\nstanza: \n\nB114\n\nte lefono: \n\n+39 0677274141 \n\n \n\n \n\nBiografia: \n\n\n\nI got the MSc degree (Laurea) in Computer Science Engineering at the University of Siena in 2007. Then I continued my studies as a Ph.D. under the supervisio n of Prof. Mauro Barni at the Information Engineering Department of the Un iversity of Siena\, working on Signal Processing of Encrypted Signals. Dur ing Ph.D.\, from November 2009 to May 2010\, I spent six months in Philips Lab at Eindhoven\, The Netherland. In 2012 I discussed the Ph.D. thesis. Until October 2015\, I continued my research activities as a post-Doc at t he Information Engineering and Mathematics Department of the University of Siena in the VIPP (Visual Information Processing and Protection) group\, led by Prof. Mauro Barni. In the group I supervised\, together with Prof. Barni\, the activities of master and PhD students involved in SPED (Signal Processing in the Encrypted Domain\, also named Secure Multi-Party Comput ation) topics and actively take part in other research fields addressed by the group\, such as forensic\, watermarking and adversarial signal proces sing. Together with Prof. Barni\, University of Siena\, I am continuing th e research in privacy preserving biometric authentication\, extending it t o multi-biometrics. From November 2015 to January 2016\, I’ve been part of the research team of Cynny s.p.a.\, an Italian start-up\, where I was inv olved in machine learning problems\, such as object recognition\, face det ection\, affective computing. I’m currently broadening my knowledge in the topic\, by approaching deep learning and implementing Convolutional Neura l Networks with Google’s TensorFlow. From September 2016 to February 2017\ , I had a research grant at the University of Padua\, Italy\, supervised b y Prof. Conti. I started several research activities together with Prof. C onti that still are on-going. First of all\, together with Prof Conti and Scientist Braca of Centre for Maritime Research and Experimentation (CMRE) \, NATO\, we are working on the implementation of privacy preserving conse nsus algorithm for decentralized Information fusion in Internet of Things. Together with Prof. Conti and Michele Nati\, Digital Catapult\, UK\, we a re exploring Blockchain-based architectures for smart health applications. Together with Prof. Conti and Quattrociocchi\, IMT Lucca\, Italy\, we are working on the possibility of discriminating hoaxes in social networks fr om the analysis of only structural properties of content propagation casca des. From March 2017 to August 2019 I have been an Assistant Professor (RT D-A) at Sapienza University of Rome\, where I am principally involved in A PT malware analysis. From September 2019 to August 2022  I have been an As sistant Professor (RTD-B) at Sapienza University of Rome\, working in IoT security. Since September 2022 I am an Associate Professor at Sapienza Uni versity of Rome.\n\n\nInteressi di ricerca: \n\nPrivacy preserving applica tions through Secure Multi-Party Computation protocols\nBiometric identifi cation\nMalware analysis\nIoT security and Provacy\nNamed Data Network (ND N) security\nSecurity and Provacy in Healthcare\n\n \n\nqualifica_rr: \n\n Associate professors URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/18220 END:VEVENT END:VCALENDAR