conftrace_

data privacy

108 papers

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Co-occurring keywords

machine unlearning (290) large language model (13587) federated learning (1333) differential privacy (1016) privacy attack (119) distributed learning (563) privacy-preserving machine learning (100) knowledge distillation (3725) adversarial attack (1621) membership inference (114)

Papers

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NIPS 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024
Measuring Dejavu Memorization Efficiently NIPS 2024
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NIPS 2024
Membership Inference Attacks against Large Vision-Language Models NIPS 2024
Diverse Community Data for Benchmarking Data Privacy Algorithms NIPS 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023
MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer WACV 2023
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies EMNLP 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN EMNLP 2023
Generating Private Synthetic Data with Genetic Algorithms ICML 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023
Detecting Personal Information in Training Corpora: an Analysis ACL 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NIPS 2023
Model Sparsity Can Simplify Machine Unlearning NIPS 2023
Static and Sequential Malicious Attacks in the Context of Selective Forgetting NIPS 2023
Privacy Attacks on Schedule-Driven Data AAAI 2023