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Briland Hitaj
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Journal Articles
- 2024
- [j3]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): 1695-1707 (2024) - 2023
- [j2]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: 108985 (2023) - 2021
- [j1]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): 104-112 (2021)
Conference and Workshop Papers
- 2023
- [c10]Huascar Sanchez, Briland Hitaj:
Software Introspection for Signaling Social-Cyber Operations. CPS-IoT Week Workshops 2023: 84-85 - [c9]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) 2023: 164-183 - [c8]Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar:
CoProver: A Recommender System for Proof Construction. CICM 2023: 237-251 - [c7]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: 297-302 - 2022
- [c6]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: 425-444 - [c5]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: 176-197 - 2019
- [c4]Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz:
PassGAN: A Deep Learning Approach for Password Guessing. ACNS 2019: 217-237 - [c3]Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini:
Evasion Attacks Against Watermarking Techniques found in MLaaS Systems. SDS 2019: 55-63 - 2017
- [c2]Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz:
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS 2017: 603-618 - 2015
- [c1]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: 46-59
Informal and Other Publications
- 2024
- [i15]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 abs/2403.03593 (2024) - 2023
- [i14]John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh:
Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning. CoRR abs/2302.14038 (2023) - [i13]Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji:
Automatic Measures for Evaluating Generative Design Methods for Architects. CoRR abs/2303.11483 (2023) - [i12]Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar:
CoProver: A Recommender System for Proof Construction. CoRR abs/2304.10486 (2023) - [i11]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR abs/2306.01545 (2023) - [i10]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 abs/2309.15232 (2023) - 2022
- [i9]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. CoRR abs/2201.08786 (2022) - [i8]Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR abs/2202.06091 (2022) - [i7]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR abs/2204.09397 (2022) - [i6]Huascar Sanchez, Briland Hitaj:
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI. CoRR abs/2210.02656 (2022) - 2020
- [i5]Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini:
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. CoRR abs/2010.16204 (2020) - 2019
- [i4]Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar:
Scratch that! An Evolution-based Adversarial Attack against Neural Networks. CoRR abs/1912.02316 (2019) - 2017
- [i3]Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz:
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR abs/1702.07464 (2017) - [i2]Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz:
PassGAN: A Deep Learning Approach for Password Guessing. CoRR abs/1709.00440 (2017) - 2015
- [i1]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 abs/1505.07774 (2015)
Coauthor Index
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last updated on 2024-07-20 21:16 CEST by the dblp team
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