Decision fusion with corrupted reports in multi-sensor networks: A game-theoretic approach. - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (CDC, 2014)

Optimum Fusion of Possibly Corrupted Reports for Distributed Detection in Multi-Sensor Networks. - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (CoRR, 2015)

Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach. - Kassem Kallas; Benedetta Tondi; Riccardo Lazzeretti; Mauro Barni (GameSec, 2016)

A Game-Theoretic Framework for Optimum Decision Fusion in the Presence of Byzantines. - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (IEEE Trans. Inf. Forensics Secur., 2016)

Decision Fusion with Unbalanced Priors under Synchronized Byzantine Attacks: a Message-Passing Approach. - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (APSIPA, 2018)

A message passing approach for decision fusion in adversarial multi-sensor networks. - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (Inf. Fusion, 2018)

On the Transferability of Adversarial Examples against CNN-based Image Forensics. - Mauro Barni; Kassem Kallas; Ehsan Nowroozi; Benedetta Tondi (ICASSP, 2019)

A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning. - Mauro Barni; Kassem Kallas; Benedetta Tondi (ICIP, 2019)

Luminance-based video backdoor attack against anti-spoofing rebroadcast detection. - Abhir Bhalerao; Kassem Kallas; Benedetta Tondi; Mauro Barni (MMSP, 2019)

CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis. - Mauro Barni; Kassem Kallas; Ehsan Nowroozi; Benedetta Tondi (WIFS, 2020)

Information Fusion in Distributed Sensor Networks with Byzantines - Andrea Abrardo; Mauro Barni; Kassem Kallas; Benedetta Tondi (Springer, 2021)

Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band. - Raied Caromi; Alex Lackpour; Kassem Kallas; Thao T. Nguyen; Michael R. Souryal (DySPAN, 2021)

Deep Learning for Path Loss Prediction in the 3.5 GHz CBRS Spectrum Band. - Thao T. Nguyen; Raied Caromi; Kassem Kallas; Michael R. Souryal (WCNC, 2022)

ROSE: A RObust and SEcure DNN Watermarking. - Kassem Kallas; Teddy Furon (WIFS, 2022)

Mixer: DNN Watermarking using Image Mixup. - Kassem Kallas; Teddy Furon (ICASSP, 2023)

A Double-Edged Sword: The Power of Two in Defending Against DNN Backdoor Attacks. - Quentin Le Roux; Kassem Kallas; Teddy Furon (EUSIPCO, 2024)

REStore: Exploring a Black-Box Defense against DNN Backdoors using Rare Event Simulation. - Quentin Le Roux; Kassem Kallas; Teddy Furon (SaTML, 2024)

A Comprehensive Survey on Backdoor Attacks and Their Defenses in Face Recognition Systems. - Quentin Le Roux; Eric Bourbao; Yannick Teglia; Kassem Kallas (IEEE Access, 2024)

Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks. - Kassem Kallas (CoRR, 2024)

Strategic safeguarding: A game theoretic approach for analyzing attacker-defender behavior in DNN backdoors. - Kassem Kallas; Quentin Le Roux; Wassim Hamidouche; Teddy Furon (EURASIP J. Inf. Secur., 2024)

Energy Backdoor Attack to Deep Neural Networks. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges; Kassem Kallas (ICASSP, 2025)

RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup. - Tamara El Hajjar; Mohammed Lansari; Reda Bellafqira; Gouenou Coatrieux; Katarzyna Kapusta; Kassem Kallas (Mach. Learn. Knowl. Extr., 2025)