Kassem Kallas, "A Game-Theoretic Approach for Adversarial Information Fusion in Distributed Sensor Networks", Ph.D Thesis, University of Siena, 2017.
Note: The thesis was nominated for the Springer ”best-of-the-best” PhD thesis Award and selected in the Top-3.
Kassem Kallas, "Design of Capacity control for TCP protocol", Master II Thesis, Polytechnic University of Turin, 2013.
Kassem Kallas, "Simulation of Bit-Interleaved Coded Modulation with Iterative Decoding System", Msc. Thesis, Lebanese Internation University, 2012.
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "Information Fusion in Distributed Sensor Networks with Byzantines", Springer Signals and Communication Technology Book Series, 2019.
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "A Message Passing Approach for Decision Fusion in Adversarial Multi-Sensor Networks," Information Fusion, Volume 40, March 2018, 101-111, ISSN 1566-2535. (IF = 12.975)
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "A Game-Theoretic Framework for Optimum Decision Fusion in the Presence of Byzantines," in IEEE Transactions on Information Forensics and Security, vol. 11, no. 6, pp. 1333-1345, June 2016. (IF = 6.211)
Thao T. Nguyen, Raied Caromi, Kassem Kallas, and Michael R. Souryal " Deep Learning for Path Loss Prediction in the 3.5 GHz CBRS Spectrum Band," Accepted at the IEEE Wireless Communications and Networking Conference 2022, Austin, TX, USA, April 2022.
Raied Caromi, Alex Lackpour, Kassem Kallas, Thao T. Nguyen and Michael R. Souryal "Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band," at IEEE International Symposium on Dynamic Spectrum Access Networks (DySpan) 2021 , December 2021.
Mauro Barni, Kassem Kallas, Ehsan Nowroozi, and Benedetta Tondi " CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis," in the 12th IEEE International Workshop on Information Forensics and Security (WIFS) 2020, New York, USA, December 2020.
Abhir Bhalerao, Kassem Kallas, Benedetta Tondi, and Mauro Barni " Luminance-based video backdoor attack against anti-spoofing rebroadcast detection," in the 21st IEEE International Workshop on Multimedia Signal Processing (MMSP’19), Kuala Lumpur, Malaysia, September 2019.
Mauro Barni, Kassem Kallas, and Benedetta Tondi, " A New Backdoor Attack in CNNs by Training Set Corruption without Label Poisoning," in the 26th IEEE International Conference on Image Processing (ICIP’19), TAPEI, TAIWAN, September 2019.
Mauro Barni, Kassem Kallas, Ehsan Nowroozi, and Benedetta Tondi, "On the Transferability of Adversarial Examples Against CNN-Based Image Forensics," in the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP’19), Brighton, UK, May 2019.
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "Decision Fusion with Unbalanced Priors under Synchronized Byzantine Attacks: a Message-Passing Approach," in the IEEE Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Honolulu, Hawaii, November 2018.
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "A Message Passing Approach for Decision Fusion of Hidden-Markov observations in the presence of Synchronized Attacks in Sensor Network, "in MMEDIA 2017, The Ninth International Conferences on Advances in Multimedia, Venice, Italy, April 2017.
Note: Best Paper Award.
Kassem Kallas, Benedetta Tondi, Riccardo Lazzeretti and Mauro Barni, "Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach," in the 7th Conference on Decision and Game Theory for Security, New York, NY, November 2016.
Andrea Abrardo, Mauro Barni, Kassem Kallas, and Benedetta Tondi, "Decision fusion with corrupted reports in multi-sensor networks: a game-theoretic approach," in IEEE Conference on Decision and Control (CDC), Los Angeles, California, December 2014.