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:20241027T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20251026T030000 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.29357.field_data.0@www.diag.uniroma1.it DTSTAMP:20260417T144631Z CREATED:20250513T084944Z DESCRIPTION:Abstract:Predicting image privacy in human-understandable terms is a context-dependent challenge. To address interpretability\, this talk will present a method that predicts image privacy using intuitive natural language descriptors linked to collective human privacy perceptions\, lev eraging multimodal alignment. Additionally\, the talk will introduce eight privacy personas that characterize diverse user groups based on their pri vacy knowledge\, behavior\, self-confidence\, and perceived importance of privacy protection. Understanding these differences is fundamental to succ eed in tailoring privacy communication and effective privacy enhancing tec hnologies.Bio:Andrea Cavallaro is the Idiap Director and a Full Professor at EPFL. He is a Fellow of the Higher Education Academy\, a Fellow of the International Association for Pattern Recognition\, and an ELLIS Fellow. H is research interests include machine learning for multimodal perception\, computer vision\, machine listening\, and information privacy. Andrea rec eived his PhD in Electrical Engineering from EPFL in 2002. He was a Resear ch Fellow with British Telecommunications in 2004 and was awarded the Roya l Academy of Engineering Teaching Prize in 2007\; three student paper awar ds on target tracking and perceptually sensitive coding at IEEE ICASSP in 2005\, 2007 and 2009\; and the best paper award at IEEE AVSS 2009. In 2010 \, he was promoted to Full Professor at Queen Mary University of London\, where he was the founding Director of the Centre for Intelligent Sensing a nd the Director of Research of the School of Electronic Engineering and Co mputer Science. He was a Turing Fellow (2018-2023) at The Alan Turing Inst itute\, the UK National Institute for Data Science and Artificial Intellig ence. He was selected as IEEE Signal Processing Society Distinguished Lect urer (2020-2021) and served as Chair of the IEEE Image\, Video\, and Multi dimensional Signal Processing Technical Committee (2020-2021). He also ser ved as member of the Technical Directions Board of the IEEE Signal Process ing Society and as elected member of the IEEE Multimedia Signal Processing Technical Committee and chair of the Awards committee of the IEEE Signal Processing Society\, Image\, Video\, and Multidimensional Signal Processin g Technical Committee.He served as Senior Area Editor for the IEEE Transac tions on Image Processing and served as Editor-in-Chief of Signal Processi ng: Image Communication (2020-2023)\; as Area Editor for the IEEE Signal P rocessing Magazine (2012-2014)\; and as Associate Editor for the IEEE Tran sactions on Image Processing (2011-2015)\, IEEE Transactions on Signal Pro cessing (2009-2011)\, IEEE Transactions on Multimedia (2009-2010)\, IEEE S ignal Processing Magazine (2008-2011) and IEEE Multimedia (2016-2018). He also served as Guest Editor the IEEE Transactions on Multimedia (2019)\, I EEE Transactions on Circuits and Systems for Video Technology (2017\, 2011 )\, Pattern Recognition Letters (2016)\, IEEE Transactions on Information Forensics and Security (2013)\, International Journal of Computer Vision ( 2011)\, IEEE Signal Processing Magazine (2010)\, Computer Vision and Image Understanding (2010)\, Annals of the British Machine Vision Association ( 2010)\, Journal of Image and Video Processing (2010\, 2008)\, and Journal on Signal\, Image and Video Processing (2007). He published a monograph on Video tracking (2011\, Wiley) and three edited books: Multi-camera networ ks (2009\, Elsevier)\; Analysis\, retrieval and delivery of multimedia con tent (2012\, Springer)\; and Intelligent multimedia surveillance (2013\, S pringer).  DTSTART;TZID=Europe/Paris:20250520T110000 DTEND;TZID=Europe/Paris:20250520T110000 LAST-MODIFIED:20250513T092017Z LOCATION:AULA B2\, DIAG SUMMARY:Seminar: Images\, perception\, and the subjective space of privacy - Prof. Andrea Cavallaro - Idiap Director\, Full Professor at EPFL\n\n\n \n \n\n \n\n\nIrene\n\n\nAmerini \n\n \n\n \n\n\n\n\n\nProfessor e associato\n\n\npagina personale\n\nstanza: \n\nB215\n\ntelefono: \n\n+39 0677274044 \n\n \n\n \n\nBiografia: \n\n\n\nIrene Amerini is Associa te Professor at the Department of Computer\, Control and Management Engine ering A. Ruberti of Sapienza University of Rome\, Italy where she is leadi ng the Computer VIsion and Multimedia Forensics Research Team at ALCORLab. \n\n\nFrom 2019-2022\, she was an Assistant Professor at DIAG\, Sapienza U niversity of Rome and previously a postdoctoral researcher at the Image Fo rensics and Security Lab\, Media Integration and Communication Center\, Un iversity of Florence (Italy). In 2018 she obtained a Visiting Research Fel lowship at Charles Sturt University (Australia) offered by the Australian Government – Department of Education and Training through the Endeavour Sc holarship & Fellowship program and the Italian Habilitation for Associate Professor in Computer Science and Telecommunications.\n\n\nIn 2010 she spe nt part of her PhD course at the Digital Data Embedding Laboratory\, Depar tment of Electrical and Computer Engineering\, Binghamton University (US). In 2011 she received the Ph.D. in computer engineering\, multimedia and t elecommunication from the University of Florence (Italy) with the thesis “ Image forensics: source identification and tampering detection”.\n\n\nIn 2 019 she co-organized the Woman In Computer Vision Workshop (WiCV) at CVPR 2019 in Long Beach\, California\, in 2020 the Woman In Computer Vision Wor kshop (WiCV) at ECCV\, the W4PR (Woman at ICPR Workshop) in conjunction wi th ICPR 2021 and of the of the VERIMEDIA workshop in conjuction with IJCNN July 2025.\n\n\nShe is currently a member of the IEEE Forensics and Secur ity Technical Committee (IFS-TC)\, EURASIP TAC Biometrics\, Data Forensics \, and Security and IAPR TC6 - Computational Forensics Committee and Senio r Area Editor (S-AE) for the SPS Signal Processing Letters (SPL) May 2025- 2027.\n\n\nHer main research activities include computer vision\, pattern recognition\, adversarial machine learning and multimedia forensics.\n\n\n  \n\n\nList of publications on dblp or Google scholar\n\n\nEmail: amerini AT diag.uniroma1.it\n\n\nWebsite/Teaching\n\n\nInteressi di ricerca: \n\nM ultimedia forensics and deepfake analysis\nMachine learning and deep learn ing for image and video analysis\nDigital image and video processing\nAdve rsarial machine learning/deep learning\nComputer vision and monocular dept h estimation\n\n\nqualifica_rr: \n\nAssociate professors \n\n \n\n \n\n\n\n\, \n\n\n \n \n\n \n\n\nClaudio\n\n\nSchiavella \n\n \n\n \n\n\n\n\n\ndottorando\n\n\npagina personale\n\nstanza: \n\nS012\n\ntele fono: \n\n35155\n\nMember of: \n\n \n\n \n\n \n\nBiografia: \n\n\n\nS ono un dottorando in Ingegneria Informatica presso la Sapienza Università di Roma (pagina personale PhD)\, attualmente impegnato in attività di rice rca presso l'ALCOR Computer Vision Lab. Il mio lavoro si concentra sullo s viluppo e l'ottimizzazione di modelli innovativi e portabili di Computer V ision\, progettati per dispositivi edge\, con l'obiettivo di spingere i li miti di efficienza e flessibilità di implementazione in applicazioni reali .\n\n\nHo conseguito una laurea triennale in Ingegneria Informatica e dell 'Automazione e una laurea magistrale in Intelligenza Artificiale e Robotic a\, laureandomi con il massimo dei voti. Il mio percorso accademico mi ha fornito solide basi in calcolo avanzato\, sistemi intelligenti e automazio ne\, che guidano la mia attuale ricerca nella computer vision all'avanguar dia per dispositivi edge.Ho maturato esperienza internazionale studiando p resso diverse università e scuole in Europa e Asia\, tra cui Repubblica Ce ca\, Francia\, Portogallo\, Finlandia\, Inghilterra\, Scozia\, Irlanda e G iappone. Sono appassionato di startup innovative nell'ambito dell'Industri a 4.0 e profondamente impegnato nell'insegnamento. Ho esperienza come doce nte nelle scuole superiori\, dove mi piace coinvolgere gli studenti attrav erso un approccio pratico e interattivo all'apprendimento.\n\n\n \n\n\nInt eressi di ricerca: \n\nModelli leggeri per la Computer Vision\nDeep learni ng geometrico per la Computer Vision\nConformal prediction per la Computer Vision\n\n\nkeywords: \n\nArtificial Intelligence and Robotics URL;TYPE=URI:https://www.diag.uniroma1.it/node/29357 END:VEVENT END:VCALENDAR