Alina Oprea
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
15
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NDSS | ACE: A Security Architecture for LLM-Integrated App Systems. | Evan Li, Tushin Mallick, Evan Rose, William K. Robertson, Alina Oprea, Cristina Nita-Rotaru |
| 2026 | NDSS | SAGA: A Security Architecture for Governing AI Agentic Systems. | Georgios Syros, Anshuman Suri, Jacob Ginesin, Cristina Nita-Rotaru, Alina Oprea |
| 2026 | SP | Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. | Anshuman Suri, Harsh Chaudhari, Yuefeng Peng, Ali Naseh, Alina Oprea, Amir Houmansadr |
| 2025 | CCS | Cascading Adversarial Bias from Injection to Distillation in Language Models. | Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea |
| 2025 | CCS | Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. | Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr |
| 2025 | ICML | Adversarial Inception Backdoor Attacks against Reinforcement Learning. | Ethan Rathbun, Alina Oprea, Christopher Amato |
| 2024 | EMNLP | User Inference Attacks on Large Language Models. | Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu |
| 2024 | ICLR | One-shot Empirical Privacy Estimation for Federated Learning. | Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar |
| 2024 | ICLR | Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. | Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman |
| 2024 | SP | Dropout Attacks. | Andrew Yuan, Alina Oprea, Cheng Tan |
| 2023 | ACSAC | Poisoning Network Flow Classifiers. | Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer |
| 2023 | RAID | Black-box Attacks Against Neural Binary Function Detection. | Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William K. Robertson |
| 2023 | SP | SNAP: Efficient Extraction of Private Properties with Poisoning. | Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramr, Jonathan R. Ullman |
| 2022 | ACSAC | 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 |
| 2022 | ESORICS | Cyber Network Resilience Against Self-Propagating Malware Attacks. | Alesia Chernikova, Nicol Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea |
| 2022 | ICMLA | Bad Citrus: Reducing Adversarial Costs with Model Distances. | Giorgio Severi, Will Pearce, Alina Oprea |
| 2021 | CCS | Subpopulation Data Poisoning Attacks. | Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea |
| 2021 | RAID | 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 |
| 2021 | SACMAT | Machine Learning Integrity and Privacy in Adversarial Environments. | Alina Oprea |
| 2020 | RAID | 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, Engin Kirda |
| 2019 | CCS | AppMine: Behavioral Analytics for Web Application Vulnerability Detection. | Indranil Jana, Alina Oprea |
| 2019 | ICML | Differentially Private Fair Learning. | Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman |
| 2019 | SP | Are Self-Driving Cars Secure? Evasion Attacks Against Deep Neural Networks for Steering Angle Prediction. | Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim |
| 2018 | ACSAC | MADE: Security Analytics for Enterprise Threat Detection. | Alina Oprea, Zhou Li, Robin Norris, Kevin D. Bowers |
| 2018 | CCS | The House That Knows You: User Authentication Based on IoT Data. | Talha Ongun, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh |
| 2018 | SP | Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. | Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li |
| 2017 | CCS | Robust Linear Regression Against Training Data Poisoning. | Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea |
| 2017 | RAID | Lens on the Endpoint: Hunting for Malicious Software Through Endpoint Data Analysis. | Ahmet Salih Buyukkayhan, Alina Oprea, Zhou Li, William K. Robertson |
| 2016 | ACSAC | Catching predators at watering holes: finding and understanding strategically compromised websites. | Sumayah A. Alrwais, Kan Yuan, Eihal Alowaisheq, Xiaojing Liao, Alina Oprea, XiaoFeng Wang, Zhou Li |
| 2015 | DSN | Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. | Alina Oprea, Zhou Li, Ting-Fang Yen, Sang H. Chin, Sumayah A. Alrwais |
| 2014 | CCS | CCSW 2014: Sixth ACM Cloud Computing Security Workshop. | Alina Oprea, Reihaneh Safavi-Naini |
| 2014 | CCS | An Epidemiological Study of Malware Encounters in a Large Enterprise. | Ting-Fang Yen, Victor Heorhiadi, Alina Oprea, Michael K. Reiter, Ari Juels |
| 2013 | ACSAC | 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 |
| 2012 | ACSAC | Iris: a scalable cloud file system with efficient integrity checks. | Emil Stefanov, Marten van Dijk, Ari Juels, Alina Oprea |
| 2012 | CCS | Hourglass schemes: how to prove that cloud files are encrypted. | Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest, Emil Stefanov, Nikos Triandopoulos |
| 2012 | DSN | Practical scrubbing: Getting to the bad sector at the right time. | George Amvrosiadis, Alina Oprea, Bianca Schroeder |
| 2011 | CCS | 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 |
| 2011 | SP | HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis. | Yinqian Zhang, Ari Juels, Alina Oprea, Michael K. Reiter |
| 2010 | FAST | A Clean-Slate Look at Disk Scrubbing. | Alina Oprea, Ari Juels |
| 2009 | CCS | HAIL: a high-availability and integrity layer for cloud storage. | Kevin D. Bowers, Ari Juels, Alina Oprea |
| 2009 | CCS | Proofs of retrievability: theory and implementation. | Kevin D. Bowers, Ari Juels, Alina Oprea |
| 2009 | ESORICS | Authentic Time-Stamps for Archival Storage. | Alina Oprea, Kevin D. Bowers |
| 2008 | ACIVS | A Pseudo-logarithmic Image Processing Framework for Edge Detection. | Constantin Vertan, Alina Oprea, Corneliu Florea, Laura Florea |
| 2006 | ESORICS | Secure Key-Updating for Lazy Revocation. | Michael Backes, Christian Cachin, Alina Oprea |
| 2005 | NDSS | Space-Efficient Block Storage Integrity. | Alina Oprea, Michael K. Reiter |
| 2004 | ACNS | Private Keyword-Based Push and Pull with Applications to Anonymous Communication. | Lea Kissner, Alina Oprea, Michael K. Reiter, Dawn Xiaodong Song, Ke Yang |
| 2004 | ACSAC | Securing a Remote Terminal Application with a Mobile Trusted Device. | Alina Oprea, Dirk Balfanz, Glenn Durfee, Diana K. Smetters |
| 2003 | CCS | Automatic generation of two-party computations. | Philip D. MacKenzie, Alina Oprea, Michael K. Reiter |