Briland Hitaj - RankMe

36 papers A* 1A 1B 2C 2Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM in the middle: A systematic review of threats and mitigations to real-world LLM-based systems. Comput. Sci. Rev. Vitor Hugo Galhardo Moia, Igor Jochem Sanz, Gabriel Antonio Fontes Rebello, Rodrigo Duarte de Meneses, Briland Hitaj, Ulf Lindqvist
2025	—	`conf`	A Case Study on the Use of Representativeness Bias as a Defense Against Adversarial Cyber Threats. EuroS&P (Workshops) Briland Hitaj, Grit Denker, Laura Tinnel, Michael McAnally, Bruce DeBruhl, Nathan Bunting, Alex Fafard, Daniel Aaron, Richard D. Roberts, Joshua Lawson, Greg McCain, Dylan Starink
2025	J	`jnl`	A Case Study on the Use of Representativeness Bias as a Defense Against Adversarial Cyber Threats. CoRR Briland Hitaj, Grit Denker, Laura Tinnel, Michael McAnally, Bruce DeBruhl, Nathan Bunting, Alex Fafard, Daniel Aaron, Richard D. Roberts, Joshua Lawson, Greg McCain, Dylan Starink
2025	J	`jnl`	Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. IEEE Trans. Dependable Secur. Comput. Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2025	J	`jnl`	LLM Chemistry Estimation for Multi-LLM Recommendation. CoRR Huascar Sanchez, Briland Hitaj
2025	J	`jnl`	LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems. CoRR Vitor Hugo Galhardo Moia, Igor Jochem Sanz, Gabriel Antonio Fontes Rebello, Rodrigo Duarte de Meneses, Briland Hitaj, Ulf Lindqvist
2025	J	`jnl`	Multi-LLM Collaboration for Medication Recommendation. CoRR Huascar Sanchez, Briland Hitaj, Jules Bergmann, Linda Briesemeister
2024	J	`jnl`	Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. CoRR Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2024	J	`jnl`	FedComm: Federated Learning as a Medium for Covert Communication. IEEE Trans. Dependable Secur. Comput. Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2024	A	`conf`	TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. ACSAC Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2023	J	`jnl`	Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
2023	C	`conf`	An Augmented MetiTarski Dataset for Real Quantifier Elimination Using Machine Learning. CICM John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh
2023	J	`jnl`	Automatic Measures for Evaluating Generative Design Methods for Architects. CoRR Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji
2023	C	`conf`	CoProver: A Recommender System for Proof Construction. CICM Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar
2023	J	`jnl`	CoProver: A Recommender System for Proof Construction. CoRR Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar
2023	J	`jnl`	Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground. CoRR Tim Ellis, Briland Hitaj, Ulf Lindqvist, Deborah Shands, Laura Tinnel, Bruce DeBruhl
2023	—	`conf`	PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
2023	J	`jnl`	PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
2023	J	`jnl`	Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning. CoRR John Hester, Briland Hitaj, Grant O. Passmore, Sam Owre, Natarajan Shankar, Eric Yeh
2023	—	`conf`	Software Introspection for Signaling Social-Cyber Operations. CPS-IoT Week Workshops Huascar Sanchez, Briland Hitaj
2022	J	`jnl`	Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi
2022	—	`conf`	Capturing the iccMAX calculatorElement: A Case Study on Format Design. SP (Workshops) Vijay H. Kothari, Prashant Anantharaman, Sean W. Smith, Briland Hitaj, Prashanth Mundkur, Natarajan Shankar, Letitia W. Li, Iavor Diatchki, William Harris
2022	J	`jnl`	FedComm: Federated Learning as a Medium for Covert Communication. CoRR Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2022	—	`conf`	MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. ESORICS (3) Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2022	J	`jnl`	TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2022	J	`jnl`	Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI. CoRR Huascar Sanchez, Briland Hitaj
2021	J	`jnl`	Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. IEEE Intell. Syst. Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini
2020	J	`jnl`	Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. CoRR Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini
2019	—	`conf`	Evasion Attacks Against Watermarking Techniques found in MLaaS Systems. SDS Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini
2019	B	`conf`	PassGAN: A Deep Learning Approach for Password Guessing. ACNS Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
2019	J	`jnl`	Scratch that! An Evolution-based Adversarial Attack against Neural Networks. CoRR Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar
2017	A*	`conf`	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
2017	J	`jnl`	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
2017	J	`jnl`	PassGAN: A Deep Learning Approach for Password Guessing. CoRR Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
2015	B	`conf`	No Place to Hide that Bytes Won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position. NSS Giuseppe Ateniese, Briland Hitaj, Luigi Vincenzo Mancini, Nino Vincenzo Verde, Antonio Villani
2015	J	`jnl`	No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track User Position. CoRR Giuseppe Ateniese, Briland Hitaj, Luigi V. Mancini, Nino Vincenzo Verde, Antonio Villani