Automatic generation of two-party computations. - Philip D. MacKenzie; Alina Oprea; Michael K. Reiter (CCS, 2003)

Private Keyword-Based Push and Pull with Applications to Anonymous Communication. - Lea Kissner; Alina Oprea; Michael K. Reiter; Dawn Xiaodong Song; Ke Yang 005 (ACNS, 2004)

Securing a Remote Terminal Application with a Mobile Trusted Device. - Alina Oprea; Dirk Balfanz; Glenn Durfee; Diana K. Smetters (ACSAC, 2004)

Space-Efficient Block Storage Integrity. - Alina Oprea; Michael K. Reiter (NDSS, 2005)

Lazy Revocation in Cryptographic File Systems. - Michael Backes 001; Christian Cachin; Alina Oprea (IEEE Security in Storage Workshop, 2005)

Secure Key-Updating for Lazy Revocation. - Michael Backes 001; Christian Cachin; Alina Oprea (IACR Cryptol. ePrint Arch., 2005)

On Consistency of Encrypted Files. - Alina Oprea; Michael K. Reiter (DISC, 2006)

Dynamic range enhancement of consumer digital camera acquired hip prosthesis X-ray images. - Laura Florea; Constantin Vertan; Corneliu Florea; Alina Oprea (EUSIPCO, 2007)

Integrity Checking in Cryptographic File Systems with Constant Trusted Storage. - Alina Oprea; Michael K. Reiter (USENIX Security Symposium, 2007)

A Pseudo-logarithmic Image Processing Framework for Edge Detection. - Constantin Vertan; Alina Oprea; Corneliu Florea; Laura Florea (ACIVS, 2008)

Proofs of Retrievability: Theory and Implementation. - Kevin D. Bowers; Ari Juels; Alina Oprea (IACR Cryptol. ePrint Arch., 2008)

HAIL: A High-Availability and Integrity Layer for Cloud Storage. - Kevin D. Bowers; Ari Juels; Alina Oprea (IACR Cryptol. ePrint Arch., 2008)

Authentic Time-Stamps for Archival Storage. - Alina Oprea; Kevin D. Bowers (IACR Cryptol. ePrint Arch., 2009)

A Clean-Slate Look at Disk Scrubbing. - Alina Oprea; Ari Juels (FAST, 2010)

How to Tell if Your Cloud Files Are Vulnerable to Drive Crashes. - Kevin D. Bowers; Marten van Dijk; Ari Juels; Alina Oprea; Ronald L. Rivest (IACR Cryptol. ePrint Arch., 2010)

HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis. - Yinqian Zhang; Ari Juels; Alina Oprea; Michael K. Reiter (IEEE Symposium on Security and Privacy, 2011)

Iris: A Scalable Cloud File System with Efficient Integrity Checks. - Emil Stefanov; Marten van Dijk; Alina Oprea; Ari Juels (IACR Cryptol. ePrint Arch., 2011)

Hourglass schemes: how to prove that cloud files are encrypted. - Marten van Dijk; Ari Juels; Alina Oprea; Ronald L. Rivest; Emil Stefanov; Nikos Triandopoulos (CCS, 2012)

Practical scrubbing: Getting to the bad sector at the right time. - George Amvrosiadis; Alina Oprea; Bianca Schroeder (DSN, 2012)

Defending Against the Unknown Enemy: Applying FlipIt to System Security. - Kevin D. Bowers; Marten van Dijk; Robert Griffin; Ari Juels; Alina Oprea; Ronald L. Rivest; Nikos Triandopoulos (IACR Cryptol. ePrint Arch., 2012)

Efficient software implementations of large finite fields GF(2n) for secure storage applications. - Jianqiang Luo; Kevin D. Bowers; Alina Oprea; Lihao Xu (ACM Trans. Storage, 2012)

Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks. - Ting-Fang Yen; Alina Oprea; Kaan Onarlioglu; Todd Leetham; William K. Robertson; Ari Juels; Engin Kirda (ACSAC, 2013)

New approaches to security and availability for cloud data. - Ari Juels; Alina Oprea (Commun. ACM, 2013)

FlipIt: The Game of "Stealthy Takeover". - Marten van Dijk; Ari Juels; Alina Oprea; Ronald L. Rivest (J. Cryptol., 2013)

CCSW 2014: Sixth ACM Cloud Computing Security Workshop. - Alina Oprea; Reihaneh Safavi-Naini (CCS, 2014)

An Epidemiological Study of Malware Encounters in a Large Enterprise. - Ting-Fang Yen; Victor Heorhiadi; Alina Oprea; Michael K. Reiter; Ari Juels (CCS, 2014)

Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. - Alina Oprea; Zhou Li 001; Ting-Fang Yen; Sang H. Chin; Sumayah A. Alrwais (DSN, 2015)

Catching predators at watering holes: finding and understanding strategically compromised websites. - Sumayah A. Alrwais; Kan Yuan; Eihal Alowaisheq; Xiaojing Liao; Alina Oprea; XiaoFeng Wang 001; Zhou Li 001 (ACSAC, 2016)

Operational Security Log Analytics for Enterprise Breach Detection. - Zhou Li 001; Alina Oprea (SecDev, 2016)

MOSAIC: A Platform for Monitoring and Security Analytics in Public Clouds. - Alina Oprea; Ata Turk; Cristina Nita-Rotaru; Orran Krieger (SecDev, 2016)

Robust High-Dimensional Linear Regression. - Chang Liu 021; Bo Li 026; Yevgeniy Vorobeychik; Alina Oprea (CoRR, 2016)

User-profile-based analytics for detecting cloud security breaches. - Trishita Tiwari; Ata Turk; Alina Oprea; Katzalin Olcoz; Ayse K. Coskun (IEEE BigData, 2017)

Robust Linear Regression Against Training Data Poisoning. - Chang Liu 021; Bo Li 026; Yevgeniy Vorobeychik; Alina Oprea (AISec@CCS, 2017)

Lens on the Endpoint: Hunting for Malicious Software Through Endpoint Data Analysis. - Ahmet Salih Buyukkayhan; Alina Oprea; Zhou Li 001; William K. Robertson (RAID, 2017)

MADE: Security Analytics for Enterprise Threat Detection. - Alina Oprea; Zhou Li 001; Robin Norris; Kevin D. Bowers (ACSAC, 2018)

Automated Generation and Selection of Interpretable Features for Enterprise Security. - Jiayi Duan; Ziheng Zeng; Alina Oprea; Shobha Vasudevan (IEEE BigData, 2018)

The House That Knows You: User Authentication Based on IoT Data. - Talha Ongun; Alina Oprea; Cristina Nita-Rotaru; Mihai Christodorescu; Negin Salajegheh (CCS, 2018)

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. - Matthew Jagielski; Alina Oprea; Battista Biggio; Chang Liu 021; Cristina Nita-Rotaru; Bo Li 026 (IEEE Symposium on Security and Privacy, 2018)

On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. - Ambra Demontis; Marco Melis; Maura Pintor; Matthew Jagielski; Battista Biggio; Alina Oprea; Cristina Nita-Rotaru; Fabio Roli (CoRR, 2018)

AppMine: Behavioral Analytics for Web Application Vulnerability Detection. - Indranil Jana; Alina Oprea (CCSW, 2019)

mathsf QFlip : An Adaptive Reinforcement Learning Strategy for the mathsf FlipIt Security Game. - Lisa Oakley; Alina Oprea (GameSec, 2019)

Differentially Private Fair Learning. - Matthew Jagielski; Michael J. Kearns; Jieming Mao; Alina Oprea; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Jonathan R. Ullman (ICML, 2019)

Are Self-Driving Cars Secure? Evasion Attacks Against Deep Neural Networks for Steering Angle Prediction. - Alesia Chernikova; Alina Oprea; Cristina Nita-Rotaru; BaekGyu Kim (IEEE Symposium on Security and Privacy Workshops, 2019)

Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. - Ambra Demontis; Marco Melis; Maura Pintor; Matthew Jagielski; Battista Biggio; Alina Oprea; Cristina Nita-Rotaru; Fabio Roli (USENIX Security Symposium, 2019)

Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation. - Xianrui Meng; Dimitrios Papadopoulos 001; Alina Oprea; Nikos Triandopoulos (CoRR, 2019)

Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game. - Lisa Oakley; Alina Oprea (CoRR, 2019)

On Designing Machine Learning Models for Malicious Network Traffic Classification. - Talha Ongun; Timothy Sakharaov; Simona Boboila; Alina Oprea; Tina Eliassi-Rad (CoRR, 2019)

The House That Knows You: User Authentication Based on IoT Data. - Talha Ongun; Oliver Spohngellert; Alina Oprea; Cristina Nita-Rotaru; Mihai Christodorescu; Negin Salajegheh (CoRR, 2019)

Adversarial Examples for Deep Learning Cyber Security Analytics. - Alesia Chernikova; Alina Oprea (CoRR, 2019)

Auditing Differentially Private Machine Learning: How Private is Private SGD? - Matthew Jagielski; Jonathan R. Ullman; Alina Oprea (NeurIPS, 2020)

What's in an Exploit? An Empirical Analysis of Reflected Server XSS Exploitation Techniques. - Ahmet Salih Buyukkayhan; Can Gemicioglu; Tobias Lauinger; Alina Oprea; William Robertson 002; Engin Kirda (RAID, 2020)

Exploring Backdoor Poisoning Attacks Against Malware Classifiers. - Giorgio Severi; Jim Meyer; Scott E. Coull; Alina Oprea (CoRR, 2020)

Subpopulation Data Poisoning Attacks. - Matthew Jagielski; Giorgio Severi; Niklas Pousette Harger; Alina Oprea (CCS, 2021)

Private Hierarchical Clustering and Efficient Approximation. - Xianrui Meng; Dimitrios Papadopoulos 001; Alina Oprea; Nikos Triandopoulos (CCSW, 2021)

PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. - Talha Ongun; Oliver Spohngellert; Benjamin A. Miller; Simona Boboila; Alina Oprea; Tina Eliassi-Rad; Jason Hiser; Alastair Nottingham; Jack W. Davidson; Malathi Veeraraghavan (CNS, 2021)

Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. - Sridhar Venkatesan; Harshvardhan Sikka; Rauf Izmailov; Ritu Chadha; Alina Oprea; Michael J. De Lucia (MILCOM, 2021)

Living-Off-The-Land Command Detection Using Active Learning. - Talha Ongun; Jack W. Stokes; Jonathan Bar Or; Ke Tian; Farid Tajaddodianfar; Joshua Neil; Christian Seifert; Alina Oprea; John C. Platt (RAID, 2021)

Machine Learning Integrity and Privacy in Adversarial Environments. - Alina Oprea (SACMAT, 2021)

Extracting Training Data from Large Language Models. - 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 (USENIX Security Symposium, 2021)

Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers. - Giorgio Severi; Jim Meyer; Scott E. Coull; Alina Oprea (USENIX Security Symposium, 2021)

On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware. - Molly Buchanan; Jeffrey W. Collyer; Jack W. Davidson; Saikat Dey; Mark Gardner; Jason D. Hiser; Jeffry Lang; Alastair Nottingham; Alina Oprea (CoRR, 2021)

Collaborative Information Sharing for ML-Based Threat Detection. - Talha Ongun; Simona Boboila; Alina Oprea; Tina Eliassi-Rad; Alastair Nottingham; Jason Hiser; Jack W. Davidson (CoRR, 2021)

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models. - Jialin Wen; Benjamin Zi Hao Zhao; Minhui Xue 001; Alina Oprea; Haifeng Qian (IEEE Trans. Inf. Forensics Secur., 2021)

A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet Devices. - Afsah Anwar; Yi Hui Chen; Roy Hodgman; Tom Sellers; Engin Kirda; Alina Oprea (ACSAC, 2022)

Network-Level Adversaries in Federated Learning. - Giorgio Severi; Matthew Jagielski; Gökberk Yar; Yuxuan Wang; Alina Oprea; Cristina Nita-Rotaru (CNS, 2022)

Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. - Lisa Oakley; Alina Oprea; Stavros Tripakis (CSF, 2022)

Cyber Network Resilience Against Self-Propagating Malware Attacks. - Alesia Chernikova; Nicolò Gozzi; Simona Boboila; Priyanka Angadi; John Loughner; Matthew Wilden; Nicola Perra; Tina Eliassi-Rad; Alina Oprea (ESORICS (1), 2022)

Bad Citrus: Reducing Adversarial Costs with Model Distances. - Giorgio Severi; Will Pearce; Alina Oprea (ICMLA, 2022)

Data Sanitization Approach to Mitigate Clean-Label Attacks Against Malware Detection Systems. - Samson Ho; Achyut Reddy; Sridhar Venkatesan; Rauf Izmailov; Ritu Chadha; Alina Oprea (MILCOM, 2022)

Poisoning Attacks Against Machine Learning: Can Machine Learning Be Trustworthy? - Alina Oprea; Anoop Singhal; Apostol Vassilev 001 (Computer, 2022)

How to Combine Membership-Inference Attacks on Multiple Updated Models. - Matthew Jagielski; Stanley Wu; Alina Oprea; Jonathan R. Ullman; Roxana Geambasu (CoRR, 2022)

CELEST: Federated Learning for Globally Coordinated Threat Detection. - Talha Ongun; Simona Boboila; Alina Oprea; Tina Eliassi-Rad; Jason Hiser; Jack W. Davidson (CoRR, 2022)

Attacking Neural Binary Function Detection. - Joshua Bundt; Michael Davinroy; Ioannis Agadakos; Alina Oprea; William Robertson 002 (CoRR, 2022)

SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. - Harsh Chaudhari; Matthew Jagielski; Alina Oprea (IACR Cryptol. ePrint Arch., 2022)

Machine Learning Security and Privacy. - Nathalie Baracaldo; Alina Oprea (IEEE Secur. Priv., 2022)

FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments. - Alesia Chernikova; Alina Oprea (ACM Trans. Priv. Secur., 2022)

Poisoning Network Flow Classifiers. - Giorgio Severi; Simona Boboila; Alina Oprea; John T. Holodnak; Kendra Kratkiewicz; Jason Matterer (ACSAC, 2023)

An Improved Nested Training Approach to Mitigate Clean-label Attacks against Malware Classifiers. - Achyut Reddy; Sridhar Venkatesan; Rauf Izmailov; Alina Oprea (MILCOM, 2023)

Unleashing the Power of Randomization in Auditing Differentially Private ML. - Krishna Pillutla; Galen Andrew; Peter Kairouz; H. Brendan McMahan; Alina Oprea; Sewoong Oh (NeurIPS, 2023)

Black-box Attacks Against Neural Binary Function Detection. - Joshua Bundt; Michael Davinroy; Ioannis Agadakos; Alina Oprea; William K. Robertson (RAID, 2023)

SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. - Harsh Chaudhari; Matthew Jagielski; Alina Oprea (SaTML, 2023)

SNAP: Efficient Extraction of Private Properties with Poisoning. - Harsh Chaudhari; John Abascal; Alina Oprea; Matthew Jagielski; Florian Tramèr; Jonathan R. Ullman (SP, 2023)

Backdoor Attacks in Peer-to-Peer Federated Learning. - Gökberk Yar; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2023)

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. - Antonio Emanuele Cinà; Kathrin Grosse; Ambra Demontis; Sebastiano Vascon; Werner Zellinger; Bernhard Alois Moser; Alina Oprea; Battista Biggio; Marcello Pelillo; Fabio Roli (ACM Comput. Surv., 2023)

How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models. - Matthew Jagielski; Stanley Wu; Alina Oprea; Jonathan R. Ullman; Roxana Geambasu (Proc. Priv. Enhancing Technol., 2023)

FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. - Han Wang 031; David Eklund; Alina Oprea; Shahid Raza (ACM Trans. Internet Things, 2023)

Modeling self-propagating malware with epidemiological models. - Alesia Chernikova; Nicolò Gozzi; Nicola Perra; Simona Boboila; Tina Eliassi-Rad; Alina Oprea (Appl. Netw. Sci., 2023)

Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. - Lisa Oakley; Steven Holtzen; Alina Oprea (CSF, 2024)

User Inference Attacks on Large Language Models. - Nikhil Kandpal; Krishna Pillutla; Alina Oprea; Peter Kairouz; Christopher A. Choquette-Choo; Zheng Xu 002 (EMNLP, 2024)

One-shot Empirical Privacy Estimation for Federated Learning. - Galen Andrew; Peter Kairouz; Sewoong Oh; Alina Oprea; Hugh Brendan McMahan; Vinith Menon Suriyakumar (ICLR, 2024)

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. - Harsh Chaudhari; Giorgio Severi; Alina Oprea; Jonathan R. Ullman (ICLR, 2024)

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. - Ethan Rathbun; Christopher Amato; Alina Oprea (NeurIPS, 2024)

Dropout Attacks. - Andrew Yuan; Alina Oprea; Cheng Tan (SP, 2024)

Phantom: General Trigger Attacks on Retrieval Augmented Language Generation. - Harsh Chaudhari; Giorgio Severi; John Abascal; Matthew Jagielski; Christopher A. Choquette-Choo; Milad Nasr; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2024)

Model-agnostic clean-label backdoor mitigation in cybersecurity environments. - Giorgio Severi; Simona Boboila; John T. Holodnak; Kendra Kratkiewicz; Rauf Izmailov; Alina Oprea (CoRR, 2024)

UTrace: Poisoning Forensics for Private Collaborative Learning. - Evan Rose; Hidde Lycklama; Harsh Chaudhari; Anwar Hithnawi; Alina Oprea (CoRR, 2024)

Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning. - Ethan Rathbun; Christopher Amato; Alina Oprea (CoRR, 2024)

TMI! Finetuned Models Leak Private Information from their Pretraining Data. - John Abascal; Stanley Wu; Alina Oprea; Jonathan R. Ullman (Proc. Priv. Enhancing Technol., 2024)

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. - Aditya Vikram Singh; Ethan Rathbun; Emma Graham; Lisa Oakley; Simona Boboila; Peter Chin 001; Alina Oprea (AAMAS, 2025)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. - Ali Naseh; Yuefeng Peng; Anshuman Suri; Harsh Chaudhari; Alina Oprea; Amir Houmansadr (CoRR, 2025)

DROP: Poison Dilution via Knowledge Distillation for Federated Learning. - Georgios Syros; Anshuman Suri; Farinaz Koushanfar; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2025)

Backdoor Attacks in Peer-to-Peer Federated Learning. - Georgios Syros; Gökberk Yar; Simona Boboila; Cristina Nita-Rotaru; Alina Oprea (ACM Trans. Priv. Secur., 2025)

Quantitative Resilience Modeling for Autonomous Cyber Defense. - Xavier Cadet; Simona Boboila; Edward Koh; Peter Chin 001; Alina Oprea (CoRR, 2025)

ACE: A Security Architecture for LLM-Integrated App Systems. - Evan Li; Tushin Mallick; Evan Rose; William K. Robertson; Alina Oprea; Cristina Nita-Rotaru (CoRR, 2025)

SAGA: A Security Architecture for Governing AI Agentic Systems. - Georgios Syros; Anshuman Suri; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2025)

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model. - Ali Naseh; Harsh Chaudhari; Jaechul Roh; Mingshi Wu; Alina Oprea; Amir Houmansadr (CoRR, 2025)

Cascading Adversarial Bias from Injection to Distillation in Language Models. - Harsh Chaudhari; Jamie Hayes; Matthew Jagielski; Ilia Shumailov; Milad Nasr; Alina Oprea (CoRR, 2025)

Black-Box Privacy Attacks on Shared Representations in Multitask Learning. - John Abascal; Nicolás Berrios; Alina Oprea; Jonathan R. Ullman; Adam Smith 006; Matthew Jagielski (CoRR, 2025)

LLM Jailbreak Oracle. - Shuyi Lin; Anshuman Suri; Alina Oprea; Cheng Tan (CoRR, 2025)

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. - Anshuman Suri; Harsh Chaudhari; Yuefeng Peng; Ali Naseh; Amir Houmansadr; Alina Oprea (CoRR, 2025)