Briland Hitaj

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Critical Infrastructure

Quantifier Elimination

Top Venues

IEEE Intell. Syst.

CPS-IoT Week Workshops

Publications

Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
FedComm: Federated Learning as a Medium for Covert Communication. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. CoRR (2024)
John Hester, Briland Hitaj, Grant Passmore, Sam Owre, Natarajan Shankar, Eric Yeh
Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning. CoRR (2023)
Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar
CoProver: A Recommender System for Proof Construction. CoRR (2023)
Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR (2023)
Tim Ellis, Briland Hitaj, Ulf Lindqvist, Deborah Shands, Laura Tinnel, Bruce DeBruhl
Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground. CoRR (2023)
Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) (2023)
Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar
CoProver: A Recommender System for Proof Construction. CICM (2023)
Huascar Sanchez, Briland Hitaj
Software Introspection for Signaling Social-Cyber Operations. CPS-IoT Week Workshops (2023)
Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. 133 (2023)
Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji
Automatic Measures for Evaluating Generative Design Methods for Architects. CoRR (2023)
John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh
An Augmented MetiTarski Dataset for Real Quantifier Elimination Using Machine Learning. CICM (2023)
Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Perez-Cruz, Luigi V. Mancini
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR (2022)
Vijay H. Kothari, Prashant Anantharaman, Sean W. Smith, Briland Hitaj, Prashanth Mundkur, Natarajan Shankar, Letitia W. Li, Iavor Diatchki, William Harris
Capturing the iccMAX calculatorElement: A Case Study on Format Design. SP Workshops (2022)
Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR (2022)
Huascar Sanchez, Briland Hitaj
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI. CoRR (2022)
Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Perez-Cruz, Luigi V. Mancini
FedComm: Federated Learning as a Medium for Covert Communication. CoRR (2022)
Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. ESORICS (3) (2022)
Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. IEEE Intell. Syst. 36 (5) (2021)
Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. CoRR (2020)
Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini
Evasion Attacks Against Watermarking Techniques found in MLaaS Systems. SDS (2019)
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
PassGAN: A Deep Learning Approach for Password Guessing. ACNS (2019)
Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar
Scratch that! An Evolution-based Adversarial Attack against Neural Networks. CoRR (2019)
Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR (2017)
Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS (2017)
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
PassGAN: A Deep Learning Approach for Password Guessing. CoRR (2017)
Giuseppe Ateniese, Briland Hitaj, Luigi V. Mancini, Nino Vincenzo Verde, Antonio Villani
No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track User Position. CoRR (2015)
Giuseppe Ateniese, Briland Hitaj, Luigi Vincenzo Mancini, Nino Vincenzo Verde, Antonio Villani
No Place to Hide that Bytes Won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position. NSS (2015)