Alina Oprea - RankMe

162 papers A* 27A 20B 2C 2Journal 88Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beware Untrusted Simulators - Reward-Free Backdoor Attacks in Reinforcement Learning. CoRR Ethan Rathbun, Wo Wei Lin, Alina Oprea, Christopher Amato
2026	J	`jnl`	Identifying Models Behind Text-to-Image Leaderboards. CoRR Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2026	J	`jnl`	MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks. CoRR Georgios Syros, Evan Rose, Brian Grinstead, Christoph Kerschbaumer, William K. Robertson, Cristina Nita-Rotaru, Alina Oprea
2026	J	`jnl`	Retrieval-Augmented LLMs for Security Incident Analysis. CoRR Xavier Cadet, Aditya Vikram Singh, Harsh Mamania, Edward Koh, Alex Fitts, Dirk Van Bruggen, Simona Boboila, Peter Chin, Alina Oprea
2026	J	`jnl`	Semantics-Preserving Evasion of LLM Vulnerability Detectors. CoRR Luze Sun, Alina Oprea, Eric Wong
2026	J	`jnl`	Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models. CoRR Harsh Chaudhari, Ethan Rathbun, Hanna Foerster, Jamie Hayes, Matthew Jagielski, Milad Nasr, Ilia Shumailov, Alina Oprea
2025	J	`jnl`	ACE: A Security Architecture for LLM-Integrated App Systems. CoRR Evan Li, Tushin Mallick, Evan Rose, William K. Robertson, Alina Oprea, Cristina Nita-Rotaru
2025	A*	`conf`	Adversarial Inception Backdoor Attacks against Reinforcement Learning. ICML Ethan Rathbun, Alina Oprea, Christopher Amato
2025	J	`jnl`	Backdoor Attacks in Peer-to-Peer Federated Learning. ACM Trans. Priv. Secur. Georgios Syros, Gökberk Yar, Simona Boboila, Cristina Nita-Rotaru, Alina Oprea
2025	J	`jnl`	Black-Box Privacy Attacks on Shared Representations in Multitask Learning. CoRR John Abascal, Nicolás Berrios, Alina Oprea, Jonathan R. Ullman, Adam Smith, Matthew Jagielski
2025	J	`jnl`	CELEST: Federated Learning for Globally Coordinated Threat Detection. IEEE Trans. Inf. Forensics Secur. Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
2025	A*	`conf`	Cascading Adversarial Bias from Injection to Distillation in Language Models. CCS Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea
2025	J	`jnl`	Cascading Adversarial Bias from Injection to Distillation in Language Models. CoRR Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea
2025	J	`jnl`	DROP: Poison Dilution via Knowledge Distillation for Federated Learning. CoRR Georgios Syros, Anshuman Suri, Farinaz Koushanfar, Cristina Nita-Rotaru, Alina Oprea
2025	J	`jnl`	Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. CoRR Anshuman Suri, Harsh Chaudhari, Yuefeng Peng, Ali Naseh, Amir Houmansadr, Alina Oprea
2025	A	`conf`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. AAMAS Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea
2025	J	`jnl`	How to Poison an xApp: Dissecting Backdoor Attacks to Deep Reinforcement Learning in Open Radio Access Networks. Comput. Networks Andrea Lacava, Stefano Maxenti, Leonardo Bonati, Salvatore D'Oro, Alina Oprea, Tommaso Melodia, Francesco Restuccia
2025	J	`jnl`	LLM Jailbreak Oracle. CoRR Shuyi Lin, Anshuman Suri, Alina Oprea, Cheng Tan
2025	—	`conf`	Model-agnostic clean-label backdoor mitigation in cybersecurity environments. MILCOM Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Michael J. De Lucia, Alina Oprea
2025	J	`jnl`	PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense. CoRR Xavier Cadet, Simona Boboila, Sie Hendrata Dharmawan, Alina Oprea, Peter Chin
2025	J	`jnl`	Quantitative Resilience Modeling for Autonomous Cyber Defense. CoRR Xavier Cadet, Simona Boboila, Edward Koh, Peter Chin, Alina Oprea
2025	J	`jnl`	R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model. CoRR Ali Naseh, Harsh Chaudhari, Jaechul Roh, Mingshi Wu, Alina Oprea, Amir Houmansadr
2025	A*	`conf`	Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. CCS Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2025	J	`jnl`	Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. CoRR Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2025	J	`jnl`	SAGA: A Security Architecture for Governing AI Agentic Systems. CoRR Georgios Syros, Anshuman Suri, Cristina Nita-Rotaru, Alina Oprea
2025	J	`jnl`	Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security. CoRR Ali Naseh, Anshuman Suri, Yuefeng Peng, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2024	J	`jnl`	Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2024	A*	`conf`	Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. ICLR Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
2024	A*	`conf`	Dropout Attacks. SP Andrew Yuan, Alina Oprea, Cheng Tan
2024	J	`jnl`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. CoRR Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin
2024	J	`jnl`	Model-agnostic clean-label backdoor mitigation in cybersecurity environments. CoRR Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Alina Oprea
2024	A*	`conf`	One-shot Empirical Privacy Estimation for Federated Learning. ICLR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar
2024	J	`jnl`	Phantom: General Trigger Attacks on Retrieval Augmented Language Generation. CoRR Harsh Chaudhari, Giorgio Severi, John Abascal, Matthew Jagielski, Christopher A. Choquette-Choo, Milad Nasr, Cristina Nita-Rotaru, Alina Oprea
2024	—	`conf`	PoolFlip: A Multi-agent Reinforcement Learning Security Environment for Cyber Defense. GameSec (1) Xavier Cadet, Simona Boboila, Sie Hendrata Dharmawan, Alina Oprea, Sang (Peter) Chin
2024	A*	`conf`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. NeurIPS Ethan Rathbun, Christopher Amato, Alina Oprea
2024	J	`jnl`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2024	A	`conf`	Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. CSF Lisa Oakley, Steven Holtzen, Alina Oprea
2024	J	`jnl`	Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. CoRR Lisa Oakley, Steven Holtzen, Alina Oprea
2024	J	`jnl`	TMI! Finetuned Models Leak Private Information from their Pretraining Data. Proc. Priv. Enhancing Technol. John Abascal, Stanley Wu, Alina Oprea, Jonathan R. Ullman
2024	J	`jnl`	UTrace: Poisoning Forensics for Private Collaborative Learning. CoRR Evan Rose, Hidde Lycklama, Harsh Chaudhari, Anwar Hithnawi, Alina Oprea
2024	A*	`conf`	User Inference Attacks on Large Language Models. EMNLP Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu
2023	—	`conf`	An Improved Nested Training Approach to Mitigate Clean-label Attacks against Malware Classifiers. MILCOM Achyut Reddy, Sridhar Venkatesan, Rauf Izmailov, Alina Oprea
2023	J	`jnl`	Backdoor Attacks in Peer-to-Peer Federated Learning. CoRR Gökberk Yar, Cristina Nita-Rotaru, Alina Oprea
2023	A	`conf`	Black-box Attacks Against Neural Binary Function Detection. RAID Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William K. Robertson
2023	J	`jnl`	Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. CoRR Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
2023	J	`jnl`	Dropout Attacks. CoRR Andrew Yuan, Alina Oprea, Cheng Tan
2023	J	`jnl`	FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. ACM Trans. Internet Things Han Wang, David Eklund, Alina Oprea, Shahid Raza
2023	J	`jnl`	How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models. Proc. Priv. Enhancing Technol. Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan R. Ullman, Roxana Geambasu
2023	J	`jnl`	Modeling self-propagating malware with epidemiological models. Appl. Netw. Sci. Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea
2023	J	`jnl`	One-shot Empirical Privacy Estimation for Federated Learning. CoRR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith M. Suriyakumar
2023	A	`conf`	Poisoning Network Flow Classifiers. ACSAC Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
2023	J	`jnl`	Poisoning Network Flow Classifiers. CoRR Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
2023	A*	`conf`	SNAP: Efficient Extraction of Private Properties with Poisoning. SP Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
2023	—	`conf`	SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. SaTML Harsh Chaudhari, Matthew Jagielski, Alina Oprea
2023	J	`jnl`	TMI! Finetuned Models Leak Private Information from their Pretraining Data. CoRR John Abascal, Stanley Wu, Alina Oprea, Jonathan R. Ullman
2023	A*	`conf`	Unleashing the Power of Randomization in Auditing Differentially Private ML. NeurIPS Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
2023	J	`jnl`	Unleashing the Power of Randomization in Auditing Differentially Private ML. CoRR Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
2023	J	`jnl`	User Inference Attacks on Large Language Models. CoRR Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu
2023	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2022	A	`conf`	A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet Devices. ACSAC Afsah Anwar, Yi Hui Chen, Roy Hodgman, Tom Sellers, Engin Kirda, Alina Oprea
2022	A	`conf`	Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. CSF Lisa Oakley, Alina Oprea, Stavros Tripakis
2022	J	`jnl`	Attacking Neural Binary Function Detection. CoRR Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William Robertson
2022	C	`conf`	Bad Citrus: Reducing Adversarial Costs with Model Distances. ICMLA Giorgio Severi, Will Pearce, Alina Oprea
2022	J	`jnl`	Bad Citrus: Reducing Adversarial Costs with Model Distances. CoRR Giorgio Severi, Will Pearce, Alina Oprea
2022	J	`jnl`	CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
2022	—	`conf`	Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	J	`jnl`	Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	—	`conf`	Data Sanitization Approach to Mitigate Clean-Label Attacks Against Malware Detection Systems. MILCOM Samson Ho, Achyut Reddy, Sridhar Venkatesan, Rauf Izmailov, Ritu Chadha, Alina Oprea
2022	J	`jnl`	FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments. ACM Trans. Priv. Secur. Alesia Chernikova, Alina Oprea
2022	J	`jnl`	How to Combine Membership-Inference Attacks on Multiple Updated Models. CoRR Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan R. Ullman, Roxana Geambasu
2022	J	`jnl`	Machine Learning Security and Privacy. IEEE Secur. Priv. Nathalie Baracaldo, Alina Oprea
2022	J	`jnl`	Modeling Self-Propagating Malware with Epidemiological Models. CoRR Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
2022	—	`conf`	Network-Level Adversaries in Federated Learning. CNS Giorgio Severi, Matthew Jagielski, Gökberk Yar, Yuxuan Wang, Alina Oprea, Cristina Nita-Rotaru
2022	J	`jnl`	Network-Level Adversaries in Federated Learning. CoRR Giorgio Severi, Matthew Jagielski, Gökberk Yar, Yuxuan Wang, Alina Oprea, Cristina Nita-Rotaru
2022	J	`jnl`	Poisoning Attacks Against Machine Learning: Can Machine Learning Be Trustworthy? Computer Alina Oprea, Anoop Singhal, Apostol Vassilev
2022	J	`jnl`	SNAP: Efficient Extraction of Private Properties with Poisoning. CoRR Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
2022	J	`jnl`	SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. CoRR Harsh Chaudhari, Matthew Jagielski, Alina Oprea
2022	J	`jnl`	SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. IACR Cryptol. ePrint Arch. Harsh Chaudhari, Matthew Jagielski, Alina Oprea
2022	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2021	J	`jnl`	Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. CoRR Lisa Oakley, Alina Oprea, Stavros Tripakis
2021	J	`jnl`	Collaborative Information Sharing for ML-Based Threat Detection. CoRR Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson
2021	A*	`conf`	Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers. USENIX Security Symposium Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea
2021	A*	`conf`	Extracting Training Data from Large Language Models. USENIX Security Symposium Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel
2021	A	`conf`	Living-Off-The-Land Command Detection Using Active Learning. RAID Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
2021	J	`jnl`	Living-Off-The-Land Command Detection Using Active Learning. CoRR Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
2021	C	`conf`	Machine Learning Integrity and Privacy in Adversarial Environments. SACMAT Alina Oprea
2021	J	`jnl`	On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware. CoRR Molly Buchanan, Jeffrey W. Collyer, Jack W. Davidson, Saikat Dey, Mark K. Gardner, Jason D. Hiser, Jeffry Lang, Alastair Nottingham, Alina Oprea
2021	—	`conf`	PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
2021	J	`jnl`	PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
2021	—	`conf`	Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. MILCOM Sridhar Venkatesan, Harshvardhan Sikka, Rauf Izmailov, Ritu Chadha, Alina Oprea, Michael J. De Lucia
2021	—	`conf`	Private Hierarchical Clustering and Efficient Approximation. CCSW Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos
2021	A*	`conf`	Subpopulation Data Poisoning Attacks. CCS Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea
2021	J	`jnl`	With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models. IEEE Trans. Inf. Forensics Secur. Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian
2020	A*	`conf`	Auditing Differentially Private Machine Learning: How Private is Private SGD? NeurIPS Matthew Jagielski, Jonathan R. Ullman, Alina Oprea
2020	J	`jnl`	Auditing Differentially Private Machine Learning: How Private is Private SGD? CoRR Matthew Jagielski, Jonathan R. Ullman, Alina Oprea
2020	J	`jnl`	Exploring Backdoor Poisoning Attacks Against Malware Classifiers. CoRR Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea
2020	J	`jnl`	Extracting Training Data from Large Language Models. CoRR Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel
2020	J	`jnl`	Subpopulation Data Poisoning Attacks. CoRR Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea
2020	A	`conf`	What's in an Exploit? An Empirical Analysis of Reflected Server XSS Exploitation Techniques. RAID Ahmet Salih Buyukkayhan, Can Gemicioglu, Tobias Lauinger, Alina Oprea, William Robertson, Engin Kirda
2019	J	`jnl`	Adversarial Examples for Deep Learning Cyber Security Analytics. CoRR Alesia Chernikova, Alina Oprea
2019	—	`conf`	AppMine: Behavioral Analytics for Web Application Vulnerability Detection. CCSW Indranil Jana, Alina Oprea
2019	J	`jnl`	AppMine: Behavioral Analytics for Web Application Vulnerability Detection. CoRR Indranil Jana, Alina Oprea
2019	—	`conf`	Are Self-Driving Cars Secure? Evasion Attacks Against Deep Neural Networks for Steering Angle Prediction. IEEE Symposium on Security and Privacy Workshops Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
2019	J	`jnl`	Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction. CoRR Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
2019	A*	`conf`	Differentially Private Fair Learning. ICML Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2019	J	`jnl`	On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad
2019	J	`jnl`	Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game. CoRR Lisa Oakley, Alina Oprea
2019	J	`jnl`	Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation. CoRR Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos
2019	J	`jnl`	The House That Knows You: User Authentication Based on IoT Data. CoRR Talha Ongun, Oliver Spohngellert, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh
2019	A*	`conf`	Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. USENIX Security Symposium Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
2019	—	`conf`	\mathsf QFlip : An Adaptive Reinforcement Learning Strategy for the \mathsf FlipIt Security Game. GameSec Lisa Oakley, Alina Oprea
2018	—	`conf`	Automated Generation and Selection of Interpretable Features for Enterprise Security. IEEE BigData Jiayi Duan, Ziheng Zeng, Alina Oprea, Shobha Vasudevan
2018	J	`jnl`	Differentially Private Fair Learning. CoRR Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2018	A	`conf`	MADE: Security Analytics for Enterprise Threat Detection. ACSAC Alina Oprea, Zhou Li, Robin Norris, Kevin D. Bowers
2018	A*	`conf`	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. IEEE Symposium on Security and Privacy Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018	J	`jnl`	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. CoRR Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018	J	`jnl`	On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. CoRR Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
2018	A*	`conf`	The House That Knows You: User Authentication Based on IoT Data. CCS Talha Ongun, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh
2017	A	`conf`	Lens on the Endpoint: Hunting for Malicious Software Through Endpoint Data Analysis. RAID Ahmet Salih Buyukkayhan, Alina Oprea, Zhou Li, William K. Robertson
2017	—	`conf`	Robust Linear Regression Against Training Data Poisoning. AISec@CCS Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2017	—	`conf`	User-profile-based analytics for detecting cloud security breaches. IEEE BigData Trishita Tiwari, Ata Turk, Alina Oprea, Katzalin Olcoz, Ayse K. Coskun
2016	A	`conf`	Catching predators at watering holes: finding and understanding strategically compromised websites. ACSAC Sumayah A. Alrwais, Kan Yuan, Eihal Alowaisheq, Xiaojing Liao, Alina Oprea, Xiaofeng Wang, Zhou Li
2016	—	`conf`	MOSAIC: A Platform for Monitoring and Security Analytics in Public Clouds. SecDev Alina Oprea, Ata Turk, Cristina Nita-Rotaru, Orran Krieger
2016	—	`conf`	Operational Security Log Analytics for Enterprise Breach Detection. SecDev Zhou Li, Alina Oprea
2016	J	`jnl`	Robust High-Dimensional Linear Regression. CoRR Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2015	A	`conf`	Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. DSN Alina Oprea, Zhou Li, Ting-Fang Yen, Sang H. Chin, Sumayah A. Alrwais
2014	A*	`conf`	An Epidemiological Study of Malware Encounters in a Large Enterprise. CCS Ting-Fang Yen, Victor Heorhiadi, Alina Oprea, Michael K. Reiter, Ari Juels
2014	A*	`conf`	CCSW 2014: Sixth ACM Cloud Computing Security Workshop. CCS Alina Oprea, Reihaneh Safavi-Naini
2014	J	`jnl`	Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. CoRR Alina Oprea, Zhou Li, Ting-Fang Yen, Sang H. Chin, Sumayah A. Alrwais
2014	—	`ed.`	Proceedings of the 6th edition of the ACM Workshop on Cloud Computing Security, CCSW '14, Scottsdale, Arizona, USA, November 7, 2014 CCSW Gail-Joon Ahn, Alina Oprea, Reihaneh Safavi-Naini
2013	A	`conf`	Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks. ACSAC Ting-Fang Yen, Alina Oprea, Kaan Onarlioglu, Todd Leetham, William K. Robertson, Ari Juels, Engin Kirda
2013	J	`jnl`	FlipIt: The Game of "Stealthy Takeover". J. Cryptol. Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest
2013	J	`jnl`	New approaches to security and availability for cloud data. Commun. ACM Ari Juels, Alina Oprea
2012	J	`jnl`	Defending Against the Unknown Enemy: Applying FlipIt to System Security. IACR Cryptol. ePrint Arch. Kevin D. Bowers, Marten van Dijk, Robert Griffin, Ari Juels, Alina Oprea, Ronald L. Rivest, Nikos Triandopoulos
2012	—	`conf`	Defending against the Unknown Enemy: Applying FlipIt to System Security. GameSec Kevin D. Bowers, Marten van Dijk, Robert Griffin, Ari Juels, Alina Oprea, Ronald L. Rivest, Nikos Triandopoulos
2012	J	`jnl`	Efficient software implementations of large finite fields ACM Trans. Storage Jianqiang Luo, Kevin D. Bowers, Alina Oprea, Lihao Xu
2012	J	`jnl`	FlipIt: The Game of "Stealthy Takeover". IACR Cryptol. ePrint Arch. Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest
2012	A*	`conf`	Hourglass schemes: how to prove that cloud files are encrypted. CCS Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest, Emil Stefanov, Nikos Triandopoulos
2012	A	`conf`	Iris: a scalable cloud file system with efficient integrity checks. ACSAC Emil Stefanov, Marten van Dijk, Ari Juels, Alina Oprea
2012	A	`conf`	Practical scrubbing: Getting to the bad sector at the right time. DSN George Amvrosiadis, Alina Oprea, Bianca Schroeder
2011	A*	`conf`	HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis. IEEE Symposium on Security and Privacy Yinqian Zhang, Ari Juels, Alina Oprea, Michael K. Reiter
2011	A*	`conf`	How to tell if your cloud files are vulnerable to drive crashes. CCS Kevin D. Bowers, Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest
2011	J	`jnl`	Iris: A Scalable Cloud File System with Efficient Integrity Checks. IACR Cryptol. ePrint Arch. Emil Stefanov, Marten van Dijk, Alina Oprea, Ari Juels
2010	A	`conf`	A Clean-Slate Look at Disk Scrubbing. FAST Alina Oprea, Ari Juels
2010	J	`jnl`	How to Tell if Your Cloud Files Are Vulnerable to Drive Crashes. IACR Cryptol. ePrint Arch. Kevin D. Bowers, Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest
2009	A	`conf`	Authentic Time-Stamps for Archival Storage. ESORICS Alina Oprea, Kevin D. Bowers
2009	J	`jnl`	Authentic Time-Stamps for Archival Storage. IACR Cryptol. ePrint Arch. Alina Oprea, Kevin D. Bowers
2009	A*	`conf`	HAIL: a high-availability and integrity layer for cloud storage. CCS Kevin D. Bowers, Ari Juels, Alina Oprea
2009	—	`conf`	Proofs of retrievability: theory and implementation. CCSW Kevin D. Bowers, Ari Juels, Alina Oprea
2008	B	`conf`	A Pseudo-logarithmic Image Processing Framework for Edge Detection. ACIVS Constantin Vertan, Alina Oprea, Corneliu Florea, Laura Florea
2008	J	`jnl`	HAIL: A High-Availability and Integrity Layer for Cloud Storage. IACR Cryptol. ePrint Arch. Kevin D. Bowers, Ari Juels, Alina Oprea
2008	J	`jnl`	Proofs of Retrievability: Theory and Implementation. IACR Cryptol. ePrint Arch. Kevin D. Bowers, Ari Juels, Alina Oprea
2007	—	`conf`	Dynamic range enhancement of consumer digital camera acquired hip prosthesis X-ray images. EUSIPCO Laura Florea, Constantin Vertan, Corneliu Florea, Alina Oprea
2007	A*	`conf`	Integrity Checking in Cryptographic File Systems with Constant Trusted Storage. USENIX Security Symposium Alina Oprea, Michael K. Reiter
2006	A	`conf`	On Consistency of Encrypted Files. DISC Alina Oprea, Michael K. Reiter
2006	A	`conf`	Secure Key-Updating for Lazy Revocation. ESORICS Michael Backes, Christian Cachin, Alina Oprea
2005	—	`conf`	Lazy Revocation in Cryptographic File Systems. IEEE Security in Storage Workshop Michael Backes, Christian Cachin, Alina Oprea
2005	J	`jnl`	Secure Key-Updating for Lazy Revocation. IACR Cryptol. ePrint Arch. Michael Backes, Christian Cachin, Alina Oprea
2005	A*	`conf`	Space-Efficient Block Storage Integrity. NDSS Alina Oprea, Michael K. Reiter
2004	B	`conf`	Private Keyword-Based Push and Pull with Applications to Anonymous Communication. ACNS Lea Kissner, Alina Oprea, Michael K. Reiter, Dawn Xiaodong Song, Ke Yang
2004	A	`conf`	Securing a Remote Terminal Application with a Mobile Trusted Device. ACSAC Alina Oprea, Dirk Balfanz, Glenn Durfee, Diana K. Smetters
2003	A*	`conf`	Automatic generation of two-party computations. CCS Philip D. MacKenzie, Alina Oprea, Michael K. Reiter