conftrace_

privacy preservation

380 papers

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Co-occurring keywords

federated learning (1333) large language model (13587) differential privacy (1016) machine unlearning (290) privacy protection (162) model compression (3302) knowledge distillation (3725) adversarial learning (1595) language model (4599) privacy-preserving learning (117)

Papers

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021
Privacy-Preserving Feature Selection with Secure Multiparty Computation ICML 2021
Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Configurable Privacy-Preserving Automatic Speech Recognition INTERSPEECH 2021
FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Regularized Mutual Learning for Personalized Federated Learning ACML 2021
CTAB-GAN: Effective Table Data Synthesizing ACML 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data IJCNLP 2021
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning NAACL 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021
IronMask: Modular Architecture for Protecting Deep Face Template CVPR 2021
Proactive Privacy-preserving Learning for Retrieval AAAI 2021
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines CVPR 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning NIPS 2021
Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021
Repopulating Street Scenes CVPR 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021