Briland Hitaj

According to our database, Briland Hitaj authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem.

Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz

CoRR, 2024

2023

Adversarial scratches: Deployable attacks to CNN classifiers.

Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi

Pattern Recognit., 2023

Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground.

Tim Ellis, Briland Hitaj, Ulf Lindqvist, Deborah Shands, Laura Tinnel, Bruce DeBruhl

CoRR, 2023

Automatic Measures for Evaluating Generative Design Methods for Architects.

Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji

CoRR, 2023

Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning.

John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh

CoRR, 2023

CoProver: A Recommender System for Proof Construction.

Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar

Proceedings of the Intelligent Computer Mathematics - 16th International Conference, 2023

An Augmented MetiTarski Dataset for Real Quantifier Elimination Using Machine Learning.

John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh

Proceedings of the Intelligent Computer Mathematics - 16th International Conference, 2023

PassGPT: Password Modeling and (Guided) Generation with Large Language Models.

Javier Rando, Fernando Pérez-Cruz, Briland Hitaj

Proceedings of the Computer Security - ESORICS 2023, 2023

Software Introspection for Signaling Social-Cyber Operations.

Huascar Sanchez, Briland Hitaj

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI.

Huascar Sanchez, Briland Hitaj

CoRR, 2022

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding.

Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini

CoRR, 2022

FedComm: Federated Learning as a Medium for Covert Communication.

Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini

CoRR, 2022

Capturing the iccMAX calculatorElement: A Case Study on Format Design.

Vijay H. Kothari, Prashant Anantharaman, Sean W. Smith, Briland Hitaj, Prashanth Mundkur, Natarajan Shankar, Letitia W. Li, Iavor Diatchki, William Harris

Proceedings of the 43rd IEEE Security and Privacy, 2022

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding.

Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz

Proceedings of the Computer Security - ESORICS 2022, 2022

2021

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

Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini

IEEE Intell. Syst., 2021

2019

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

Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar

CoRR, 2019

Evasion Attacks Against Watermarking Techniques found in MLaaS Systems.

Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini

Proceedings of the 6th International Conference on Software Defined Systems, 2019

PassGAN: A Deep Learning Approach for Password Guessing.

Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz

Proceedings of the Applied Cryptography and Network Security, 2019

2017

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

Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2015

No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track User Position.

Giuseppe Ateniese, Briland Hitaj, Luigi V. Mancini, Nino Vincenzo Verde, Antonio Villani

CoRR, 2015

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

Giuseppe Ateniese, Briland Hitaj, Luigi Vincenzo Mancini, Nino Vincenzo Verde, Antonio Villani

Proceedings of the Network and System Security - 9th International Conference, 2015