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Methodology
← Security & Privacy
Security & Privacy
›
Privacy
626 directly classified papers
Papers per year
2006: 1
2007: 2
2012: 1
2013: 2
2014: 1
2015: 1
2016: 5
2017: 3
2018: 16
2019: 12
2020: 30
2021: 53
2022: 72
2023: 85
2024: 137
2025: 203
2026: 2
Papers
On the Privacy Risks of Algorithmic Recourse
AISTATS 2023
Nothing but Regrets — Privacy-Preserving Federated Causal Discovery
AISTATS 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
AISTATS 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection
AISTATS 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
ACL 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
ACL 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
ACL 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
EMNLP 2023
TrojanSQL: SQL Injection against Natural Language Interface to Database
EMNLP 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
EMNLP 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
NSDI 2023
Boomerang: Metadata-Private Messaging under Hardware Trust
NSDI 2023
Addax: A fast, private, and accountable ad exchange infrastructure
NSDI 2023
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
EMNLP 2023
Automated De-Identification of Arabic Medical Records
EMNLP 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
NIPS 2023
Encrypted Databases Made Secure Yet Maintainable
OSDI 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
CVPR 2023
Robust and Actively Secure Serverless Collaborative Learning
NIPS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
NIPS 2023
On the Gini-impurity Preservation For Privacy Random Forests
NIPS 2023
Attention-Enhancing Backdoor Attacks Against BERT-based Models
EMNLP 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NIPS 2023
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