Alina Oprea

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 91

Top Venues

Publications

Lisa Oakley, Steven Holtzen, Alina Oprea
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. CoRR (2024)
Harsh Chaudhari, Giorgio Severi, John Abascal, Matthew Jagielski, Christopher A. Choquette-Choo, Milad Nasr, Cristina Nita-Rotaru, Alina Oprea
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation. CoRR (2024)
John Abascal, Stanley Wu, Alina Oprea, Jonathan R. Ullman
TMI! Finetuned Models Leak Private Information from their Pretraining Data. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Alina Oprea
Model-agnostic clean-label backdoor mitigation in cybersecurity environments. CoRR (2024)
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. ICLR (2024)
Ethan Rathbun, Christopher Amato, Alina Oprea
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. CoRR (2024)
Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar
One-shot Empirical Privacy Estimation for Federated Learning. ICLR (2024)
Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William K. Robertson
Black-box Attacks Against Neural Binary Function Detection. RAID (2023)
Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith Suriyakumar
One-shot Empirical Privacy Estimation for Federated Learning. CoRR (2023)
Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan R. Ullman, Roxana Geambasu
How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models. Proc. Priv. Enhancing Technol. 2023 (3) (2023)
Achyut Reddy, Sridhar Venkatesan, Rauf Izmailov, Alina Oprea
An Improved Nested Training Approach to Mitigate Clean-label Attacks against Malware Classifiers. MILCOM (2023)
Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
Unleashing the Power of Randomization in Auditing Differentially Private ML. CoRR (2023)
Andrew Yuan, Alina Oprea, Cheng Tan
Dropout Attacks. CoRR (2023)
Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea
Modeling self-propagating malware with epidemiological models. Appl. Netw. Sci. 8 (1) (2023)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. SaTML (2023)
Han Wang, David Eklund, Alina Oprea, Shahid Raza
FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. ACM Trans. Internet Things 4 (3) (2023)
Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
SNAP: Efficient Extraction of Private Properties with Poisoning. SP (2023)
Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
Unleashing the Power of Randomization in Auditing Differentially Private ML. NeurIPS (2023)
Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu
User Inference Attacks on Large Language Models. CoRR (2023)
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan R. Ullman
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning. CoRR (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. ACSAC (2023)
Gökberk Yar, Cristina Nita-Rotaru, Alina Oprea
Backdoor Attacks in Peer-to-Peer Federated Learning. CoRR (2023)
John Abascal, Stanley Wu, Alina Oprea, Jonathan R. Ullman
TMI! Finetuned Models Leak Private Information from their Pretraining Data. CoRR (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55 (13s) (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. CoRR (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR (2022)
Alina Oprea, Anoop Singhal, Apostol Vassilev
Poisoning Attacks Against Machine Learning: Can Machine Learning Be Trustworthy? Computer 55 (11) (2022)
Giorgio Severi, Will Pearce, Alina Oprea
Bad Citrus: Reducing Adversarial Costs with Model Distances. ICMLA (2022)
Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman
SNAP: Efficient Extraction of Private Properties with Poisoning. CoRR (2022)
Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) (2022)
Giorgio Severi, Matthew Jagielski, Gökberk Yar, Yuxuan Wang, Alina Oprea, Cristina Nita-Rotaru
Network-Level Adversaries in Federated Learning. CNS (2022)
Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William Robertson
Attacking Neural Binary Function Detection. CoRR (2022)
Nathalie Baracaldo, Alina Oprea
Machine Learning Security and Privacy. IEEE Secur. Priv. 20 (5) (2022)
Giorgio Severi, Matthew Jagielski, Gökberk Yar, Yuxuan Wang, Alina Oprea, Cristina Nita-Rotaru
Network-Level Adversaries in Federated Learning. CoRR (2022)
Afsah Anwar, Yi Hui Chen, Roy Hodgman, Tom Sellers, Engin Kirda, Alina Oprea
A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet Devices. ACSAC (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR (2022)
Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan R. Ullman, Roxana Geambasu
How to Combine Membership-Inference Attacks on Multiple Updated Models. CoRR (2022)
Alesia Chernikova, Alina Oprea
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments. ACM Trans. Priv. Secur. 25 (4) (2022)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. CoRR (2022)
Harsh Chaudhari, Matthew Jagielski, Alina Oprea
SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. IACR Cryptol. ePrint Arch. 2022 (2022)
Giorgio Severi, Will Pearce, Alina Oprea
Bad Citrus: Reducing Adversarial Costs with Model Distances. CoRR (2022)
Samson Ho, Achyut Reddy, Sridhar Venkatesan, Rauf Izmailov, Ritu Chadha, Alina Oprea
Data Sanitization Approach to Mitigate Clean-Label Attacks Against Malware Detection Systems. MILCOM (2022)
Lisa Oakley, Alina Oprea, Stavros Tripakis
Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. CSF (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Modeling Self-Propagating Malware with Epidemiological Models. CoRR (2022)
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
Living-Off-The-Land Command Detection Using Active Learning. RAID (2021)
Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers. USENIX Security Symposium (2021)
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
Living-Off-The-Land Command Detection Using Active Learning. CoRR (2021)
Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos
Private Hierarchical Clustering and Efficient Approximation. CCSW@CCS (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR (2021)
Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson
Collaborative Information Sharing for ML-Based Threat Detection. CoRR (2021)
Lisa Oakley, Alina Oprea, Stavros Tripakis
Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. CoRR (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS (2021)
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
Extracting Training Data from Large Language Models. USENIX Security Symposium (2021)
Sridhar Venkatesan, Harshvardhan Sikka, Rauf Izmailov, Ritu Chadha, Alina Oprea, Michael J. De Lucia
Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. MILCOM (2021)
Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Molly Buchanan, Jeffrey W. Collyer, Jack W. Davidson, Saikat Dey, Mark Gardner, Jason D. Hiser, Jeffry Lang, Alastair Nottingham, Alina Oprea
On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware. CoRR (2021)
Alina Oprea
Machine Learning Integrity and Privacy in Adversarial Environments. SACMAT (2021)
Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea
Subpopulation Data Poisoning Attacks. CCS (2021)
Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea
Subpopulation Data Poisoning Attacks. CoRR (2020)
Matthew Jagielski, Jonathan R. Ullman, Alina Oprea
Auditing Differentially Private Machine Learning: How Private is Private SGD? CoRR (2020)
Ahmet Salih Buyukkayhan, Can Gemicioglu, Tobias Lauinger, Alina Oprea, William Robertson, Engin Kirda
What's in an Exploit? An Empirical Analysis of Reflected Server XSS Exploitation Techniques. RAID (2020)
Matthew Jagielski, Jonathan R. Ullman, Alina Oprea
Auditing Differentially Private Machine Learning: How Private is Private SGD? NeurIPS (2020)
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
Extracting Training Data from Large Language Models. CoRR (2020)
Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea
Exploring Backdoor Poisoning Attacks Against Malware Classifiers. CoRR (2020)
Lisa Oakley, Alina Oprea
\mathsf QFlip : An Adaptive Reinforcement Learning Strategy for the \mathsf FlipIt Security Game. GameSec (2019)
Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. USENIX Security Symposium (2019)
Alesia Chernikova, Alina Oprea
Adversarial Examples for Deep Learning Cyber Security Analytics. CoRR (2019)
Indranil Jana, Alina Oprea
AppMine: Behavioral Analytics for Web Application Vulnerability Detection. CoRR (2019)
Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos
Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation. CoRR (2019)
Talha Ongun, Oliver Spohngellert, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh
The House That Knows You: User Authentication Based on IoT Data. CoRR (2019)
Indranil Jana, Alina Oprea
AppMine: Behavioral Analytics for Web Application Vulnerability Detection. CCSW@CCS (2019)
Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction. CoRR (2019)
Lisa Oakley, Alina Oprea
Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game. CoRR (2019)
Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
Are Self-Driving Cars Secure? Evasion Attacks Against Deep Neural Networks for Steering Angle Prediction. IEEE Symposium on Security and Privacy Workshops (2019)
Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad
On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR (2019)
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
Differentially Private Fair Learning. ICML (2019)
Jiayi Duan, Ziheng Zeng, Alina Oprea, Shobha Vasudevan
Automated Generation and Selection of Interpretable Features for Enterprise Security. IEEE BigData (2018)
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
Differentially Private Fair Learning. CoRR (2018)
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. IEEE Symposium on Security and Privacy (2018)
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. CoRR (2018)
Talha Ongun, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh
The House That Knows You: User Authentication Based on IoT Data. CCS (2018)
Alina Oprea, Zhou Li, Robin Norris, Kevin D. Bowers
MADE: Security Analytics for Enterprise Threat Detection. ACSAC (2018)
Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. CoRR (2018)
Ahmet Salih Buyukkayhan, Alina Oprea, Zhou Li, William K. Robertson
Lens on the Endpoint: Hunting for Malicious Software Through Endpoint Data Analysis. RAID (2017)
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
Robust Linear Regression Against Training Data Poisoning. AISec@CCS (2017)
Trishita Tiwari, Ata Turk, Alina Oprea, Katzalin Olcoz, Ayse K. Coskun
User-profile-based analytics for detecting cloud security breaches. IEEE BigData (2017)
Zhou Li, Alina Oprea
Operational Security Log Analytics for Enterprise Breach Detection. SecDev (2016)
Sumayah A. Alrwais, Kan Yuan, Eihal Alowaisheq, Xiaojing Liao, Alina Oprea, XiaoFeng Wang, Zhou Li
Catching predators at watering holes: finding and understanding strategically compromised websites. ACSAC (2016)
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
Robust High-Dimensional Linear Regression. CoRR (2016)
Alina Oprea, Ata Turk, Cristina Nita-Rotaru, Orran Krieger
MOSAIC: A Platform for Monitoring and Security Analytics in Public Clouds. SecDev (2016)
Alina Oprea, Zhou Li, Ting-Fang Yen, Sang H. Chin, Sumayah A. Alrwais
Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. DSN (2015)
Alina Oprea, Reihaneh Safavi-Naini
CCSW 2014: Sixth ACM Cloud Computing Security Workshop. CCS (2014)
Ting-Fang Yen, Victor Heorhiadi, Alina Oprea, Michael K. Reiter, Ari Juels
An Epidemiological Study of Malware Encounters in a Large Enterprise. CCS (2014)
Alina Oprea, Zhou Li, Ting-Fang Yen, Sang H. Chin, Sumayah A. Alrwais
Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data. CoRR (2014)
Marten van Dijk, Ari Juels, Alina Oprea, Ronald L. Rivest
FlipIt: The Game of "Stealthy Takeover". J. Cryptol. 26 (4) (2013)
Ari Juels, Alina Oprea
New approaches to security and availability for cloud data. Commun. ACM 56 (2) (2013)
Ting-Fang Yen, Alina Oprea, Kaan Onarlioglu, Todd Leetham, William K. Robertson, Ari Juels, Engin Kirda
Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks. ACSAC (2013)
George Amvrosiadis, Alina Oprea, Bianca Schroeder
Practical scrubbing: Getting to the bad sector at the right time. DSN (2012)
Kevin D. Bowers, Marten van Dijk, Robert Griffin, Ari Juels, Alina Oprea, Ronald L. Rivest, Nikos Triandopoulos
Defending against the Unknown Enemy: Applying FlipIt to System Security. GameSec (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alina Oprea