Security & Privacy
1,222 papers (5 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
1
2
1
6
9
6
10
8
12
35
41
55
102
169
174
237
282
69
'10
'15
'20
'25
Papers (including subtopics)
Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract)
IJCAI 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
EMNLP 2024
Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model
EACL 2024
Demystifying Verbatim Memorization in Large Language Models
EMNLP 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
AAAI 2024
Detecting Personal Identifiable Information in Swedish Learner Essays
EACL 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models
JMLR 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications
NeurIPS 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
NeurIPS 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
UAI 2024
Differentially Private Optimization with Sparse Gradients
NeurIPS 2024
Differentially Private Reinforcement Learning with Self-Play
NeurIPS 2024
Differentially Private Reward Estimation with Preference Feedback
AISTATS 2024
Differentially Private Set Representations
NeurIPS 2024
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
ICLR 2024
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
ICLR 2024
Differentially Private Video Activity Recognition
WACV 2024
Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features
NeurIPS 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
NeurIPS 2024
Don’t forget private retrieval: distributed private similarity search for large language models
ACL 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
NeurIPS 2024
Downstream Trade-offs of a Family of Text Watermarks
EMNLP 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
AAAI 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
NeurIPS 2024