Briland Hitaj

Scratch that! An Evolution-based Adversarial Attack against Neural Networks pdf

Farinaz Koushanfar, Gabriela F. Cretu-Ciocarlie, Malhar Jere, 2019, ArXiv.

PassGAN: A Deep Learning Approach for Password Guessing

Fernando Pérez-Cruz, Giuseppe Ateniese, Paolo Gasti, 2017, ACNS.

Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks pdf

Sushil Jajodia, Dorjan Hitaj, Luigi V. Mancini, 2020, ArXiv.

No Place to Hide that Bytes Won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position pdf

Nino Vincenzo Verde, Luigi V. Mancini, Giuseppe Ateniese, 2015, NSS.

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Giuseppe Ateniese, Fernando Perez-Cruz, Briland Hitaj, 2017, CCS.

Evasion Attacks Against Watermarking Techniques found in MLaaS Systems

Luigi V. Mancini, Dorjan Hitaj, Briland Hitaj, 2019, 2019 Sixth International Conference on Software Defined Systems (SDS).

WHAT ARE GANS USEFUL FOR

Pablo M. Olmos, Giuseppe Ateniese, Paolo Gasti, 2018 .

FedComm: Federated Learning as a Medium for Covert Communication

Luigi V. Mancini, Dorjan Hitaj, Fernando Perez-Cruz, 2022 .

Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks

Sushil Jajodia, Luigi V. Mancini, Dorjan Hitaj, 2021, IEEE Intelligent Systems.