Octavian Suciu

17 papers A* 4Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Text-Based Personas for Simulating User Privacy Decisions.
CoRR
Kassem Fawaz, Ren Yi, Octavian Suciu, Rishabh Khandelwal, Hamza Harkous, Nina Taft, Marco Gruteser
2025 J jnl
FARFETCH'D: A Side-Channel Analysis Framework for Privacy Applications on Confidential Virtual Machines.
CoRR
Ruiyi Zhang, Albert Cheu, Adrià Gascón, Daniel Moghimi, Phillipp Schoppmann, Michael Schwarz, Octavian Suciu
2025 J jnl
Personalizing Agent Privacy Decisions via Logical Entailment.
CoRR
James Flemings, Ren Yi, Octavian Suciu, Kassem Fawaz, Murali Annavaram, Marco Gruteser
2025 J jnl
Privacy Reasoning in Ambiguous Contexts.
CoRR
Ren Yi, Octavian Suciu, Adrià Gascón, Sarah Meiklejohn, Eugene Bagdasarian, Marco Gruteser
2022 A* conf
Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits.
USENIX Security Symposium
Octavian Suciu, Connor Nelson, Zhuoer Lyu, Tiffany Bao, Tudor Dumitras
2021 — —
Data-Driven Techniques For Vulnerability Assessments.
Octavian Suciu
2021 J jnl
Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits.
CoRR
Octavian Suciu, Connor Nelson, Zhuoer Lyu, Tiffany Bao, Tudor Dumitras
2019 — conf
Exploring Adversarial Examples in Malware Detection.
IEEE Symposium on Security and Privacy Workshops
Octavian Suciu, Scott E. Coull, Jeffrey Johns
2018 — conf
Exploring Adversarial Examples in Malware Detection.
AAAI Fall Symposium: ALEC
Octavian Suciu, Scott E. Coull, Jeffrey Johns
2018 J jnl
Exploring Adversarial Examples in Malware Detection.
CoRR
Octavian Suciu, Scott E. Coull, Jeffrey Johns
2018 A* conf
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.
NeurIPS
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
2018 J jnl
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.
CoRR
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
2018 — conf
Too Big to FAIL: What You Need to Know Before Attacking a Machine Learning System.
Security Protocols Workshop
Tudor Dumitras, Yigitcan Kaya, Radu Marginean, Octavian Suciu
2018 A* conf
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks.
USENIX Security Symposium
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
2018 J jnl
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks.
CoRR
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
2017 J jnl
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning.
CoRR
Rock Stevens, Octavian Suciu, Andrew Ruef, Sanghyun Hong, Michael W. Hicks, Tudor Dumitras
2015 A* conf
Vulnerability Disclosure in the Age of Social Media: Exploiting Twitter for Predicting Real-World Exploits.
USENIX Security Symposium
Carl Sabottke, Octavian Suciu, Tudor Dumitras