Briland Hitaj

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Citations	2138	2027
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Fernando Perez-CruzSr Adviser, Innovation at Bank for International SettlementsVerified email at bis.org
Giuseppe AtenieseGeorge Mason UniversityVerified email at gmu.edu
Paolo GastiAssociate Professor at New York Institute of TechnologyVerified email at nyit.edu
Luigi Vincenzo ManciniUniversity Professor, Sapienza University of Rome, ItalyVerified email at di.uniroma1.it
Dorjan HitajAssistant Professor, Sapienza University of RomeVerified email at di.uniroma1.it
Giacomo BoracchiAssociate Professor, Politecnico di Milano, DEIBVerified email at polimi.it
Gabriela (Cretu) CiocarlieAssociate Professor at The University of Texas at San AntonioVerified email at cs.columbia.edu
Farinaz KoushanfarProfessor and Siavouche Nemat-Nasser Endowed Chair of ECE, UC San DiegoVerified email at ucsd.edu
Natarajan ShankarSRI International Computer Science LaboratoryVerified email at csl.sri.com
Eric YehSRI InternationalVerified email at sri.com
Sam OwreSRI InternationalVerified email at sri.com
Nino Vincenzo VerdeUniversità di Roma "La Sapienza"Verified email at di.uniroma1.it
Antonio VillaniUniversity of Roma TreVerified email at mat.uniroma3.it
Sushil JajodiaUniversity Professor, BDM International Professor, and Director, Center for Secure InformationVerified email at gmu.edu
Loris GiuliviPh.D. student, Politecnico di MilanoVerified email at polimi.it
Javier RandoETH ZurichVerified email at ai.ethz.ch
Grant Olney PassmoreImandra Inc. and Clare Hall, University of CambridgeVerified email at cl.cam.ac.uk
Pablo M. OlmosUniversity Carlos III de MadridVerified email at tsc.uc3m.es
Fabio De GaspariAssistant Professor (RTD-A), Sapienza University of RomeVerified email at di.uniroma1.it
Huascar SanchezSr. Computer Scientist @ SRI InternationalVerified email at sri.com

Briland Hitaj

SRI International

Verified email at sri.com - Homepage

security privacy deep learning federated learning password security


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Deep models under the GAN: information leakage from collaborative deep learning B Hitaj, G Ateniese, F Perez-Cruz Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017	1620	2017
Passgan: A deep learning approach for password guessing B Hitaj, P Gasti, G Ateniese, F Perez-Cruz Applied Cryptography and Network Security: 17th International Conference …, 2019	334	2019
Evasion attacks against watermarking techniques found in MLaaS systems D Hitaj, B Hitaj, LV Mancini 2019 Sixth International Conference on Software Defined Systems (SDS), 55-63, 2019	38	2019
No place to hide that bytes won’t reveal: Sniffing location-based encrypted traffic to track a user’s position G Ateniese, B Hitaj, LV Mancini, NV Verde, A Villani Network and System Security: 9th International Conference, NSS 2015, New …, 2015	25	2015
Scratch that! An evolution-based adversarial attack against neural networks M Jere, L Rossi, B Hitaj, G Ciocarlie, G Boracchi, F Koushanfar arXiv preprint arXiv:1912.02316, 2019	22	2019
Capture the bot: Using adversarial examples to improve captcha robustness to bot attacks D Hitaj, B Hitaj, S Jajodia, LV Mancini IEEE Intelligent Systems 36 (5), 104-112, 2020	19	2020
Adversarial scratches: Deployable attacks to CNN classifiers L Giulivi, M Jere, L Rossi, F Koushanfar, G Ciocarlie, B Hitaj, G Boracchi Pattern Recognition 133, 108985, 2023	16	2023
PassGPT: password modeling and (guided) generation with large language models J Rando, F Perez-Cruz, B Hitaj European Symposium on Research in Computer Security, 164-183, 2023	14	2023
MaleficNet: Hiding malware into deep neural networks using spread-spectrum channel coding D Hitaj, G Pagnotta, B Hitaj, LV Mancini, F Perez-Cruz European Symposium on Research in Computer Security, 425-444, 2022	13	2022
Fedcomm: Federated learning as a medium for covert communication D Hitaj, G Pagnotta, B Hitaj, F Perez-Cruz, LV Mancini IEEE Transactions on Dependable and Secure Computing, 2023	11	2023
Tattooed: A robust deep neural network watermarking scheme based on spread-spectrum channel coding G Pagnotta, D Hitaj, B Hitaj, F Perez-Cruz, LV Mancini arXiv preprint arXiv:2202.06091, 2022	6	2022
Do you trust your model? emerging malware threats in the deep learning ecosystem D Hitaj, G Pagnotta, F De Gaspari, S Ruko, B Hitaj, LV Mancini, ... arXiv preprint arXiv:2403.03593, 2024	4	2024
An Augmented MetiTarski Dataset for Real Quantifier Elimination Using Machine Learning J Hester, B Hitaj, G Passmore, S Owre, N Shankar, E Yeh International Conference on Intelligent Computer Mathematics, 297-302, 2023	4	2023
CoProver: A recommender system for proof construction E Yeh, B Hitaj, S Owre, M Quemener, N Shankar International Conference on Intelligent Computer Mathematics, 237-251, 2023	4	2023
Capturing the iccMAX calculator Element: A Case Study on Format Design V Kothari, P Anantharaman, S Smith, B Hitaj, P Mundkur, N Shankar, L Li, ... Proceedings of the IEEE Security and Privacy Workshops (SPW). IEEE, 2022	3	2022
Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground T Ellis, B Hitaj, U Lindqvist, D Shands, L Tinnel, B DeBruhl arXiv preprint arXiv:2309.15232, 2023	1	2023
System and process for generating passwords or password guesses B Hitaj, G Ateniese, F Perez-Cruz, P Gasti US Patent 11,669,612, 2023	1	2023
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI H Sanchez, B Hitaj arXiv preprint arXiv:2210.02656, 2022	1	2022
WHAT ARE GANS USEFUL FOR? PM Olmos, B Hitaj, P Gasti, G Ateniese, F Perez-Cruz	1	2018
What are GANs useful for? B Hitaj, PM Olmos, P Gasti, G Ateniese, F Pérez-Cruz	1

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