Alina Oprea
9 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🧬
Topic Evolution
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(5)
Deep Learning
(3)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Reinforcement Learning
(1)
Robotics
(1)
Security & Privacy
(1)
Capabilities
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Paradigms
(1)
Methods
(1)
Keywords
differential privacy
(5)
privacy auditing
(3)
privacy attack
(2)
membership inference
(2)
reinforcement learning
(2)
backdoor attack
(2)
data poisoning
(2)
adversarial attack
(1)
privacy loss
(1)
poisoning attack
(1)
text-to-image model
(1)
data attribution
(1)
gaussian mechanism
(1)
label-only attack
(1)
statistical test
(1)
equalized odd
(1)
reward poisoning
(1)
large language model
(1)
fair learning
(1)
non-discriminatory model
(1)
Papers
When Anonymity Breaks: Identifying Models Behind Text-to-Image Leaderboards
CVPR 2026
Adversarial Inception Backdoor Attacks against Reinforcement Learning
ICML 2025
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
ICLR 2024
One-shot Empirical Privacy Estimation for Federated Learning
ICLR 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
NeurIPS 2024
User Inference Attacks on Large Language Models
EMNLP 2024
Unleashing the Power of Randomization in Auditing Differentially Private ML
NeurIPS 2023
Auditing Differentially Private Machine Learning: How Private is Private SGD?
NeurIPS 2020
Differentially Private Fair Learning
ICML 2019