Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
Noisy Neighbors: Efficient membership inference attacks against LLMs
ACL 2024
Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques
ACL 2024
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models
ACL 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
NIPS 2024
Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems
ACL 2024
A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation
ACL 2024
Protecting Privacy in Classifiers by Token Manipulation
ACL 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
ACL 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
NIPS 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
ACL 2024
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
ACL 2024
Machine Unlearning: Challenges in Data Quality and Access
IJCAI 2024
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
ACL 2024
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
NIPS 2024
Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract)
IJCAI 2024
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
ACL 2024
Can LLMs get help from other LLMs without revealing private information?
ACL 2024
Knowledge Distillation in Federated Learning: A Practical Guide
IJCAI 2024
Reducing Privacy Risks in Online Self-Disclosures with Language Models
ACL 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
AAAI 2024
Protecting Split Learning by Potential Energy Loss
IJCAI 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
Probabilistically Robust Watermarking of Neural Networks
IJCAI 2024
Does Few-Shot Learning Suffer from Backdoor Attacks?
AAAI 2024
<
1
…
32
33
34
…
112
>