Briland Hitaj

Orcid: 0000-0001-5925-3027

According to our database1, Briland Hitaj authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
FedComm: Federated Learning as a Medium for Covert Communication.
IEEE Trans. Dependable Secur. Comput., 2024

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem.
CoRR, 2024

2023
Adversarial scratches: Deployable attacks to CNN classifiers.
Pattern Recognit., 2023

Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground.
CoRR, 2023

Automatic Measures for Evaluating Generative Design Methods for Architects.
CoRR, 2023

Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning.
CoRR, 2023

CoProver: A Recommender System for Proof Construction.
Proceedings of the Intelligent Computer Mathematics - 16th International Conference, 2023

An Augmented MetiTarski Dataset for Real Quantifier Elimination Using Machine Learning.
Proceedings of the Intelligent Computer Mathematics - 16th International Conference, 2023

PassGPT: Password Modeling and (Guided) Generation with Large Language Models.
Proceedings of the Computer Security - ESORICS 2023, 2023

Software Introspection for Signaling Social-Cyber Operations.
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.
CoRR, 2022

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding.
CoRR, 2022

Capturing the iccMAX calculatorElement: A Case Study on Format Design.
Proceedings of the 43rd IEEE Security and Privacy, 2022

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding.
Proceedings of the Computer Security - ESORICS 2022, 2022

2021
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks.
IEEE Intell. Syst., 2021

2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks.
CoRR, 2019

Evasion Attacks Against Watermarking Techniques found in MLaaS Systems.
Proceedings of the 6th International Conference on Software Defined Systems, 2019

PassGAN: A Deep Learning Approach for Password Guessing.
Proceedings of the Applied Cryptography and Network Security, 2019

2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
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.
CoRR, 2015

No Place to Hide that Bytes Won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position.
Proceedings of the Network and System Security - 9th International Conference, 2015


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