conftrace_

homomorphic encryption

56 papers

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Also known as

HE

Co-occurring keywords

privacy-preserving inference (22) neural network (6616) privacy preservation (380) privacy-preserving machine learning (100) encrypted inference (9) secure inference (10) model compression (3302) secure computation (22) federated learning (1333) differential privacy (1016)

Papers

ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping AAAI 2026
Hyperion: Private Token Sampling with Homomorphic Encryption ACL 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination AAAI 2026
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026
Privacy-Preserving Argumentative Explanations (Student Abstract) AAAI 2026
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025
Efficient Decoding Methods for Language Models on Encrypted Data IJCNLP 2025
IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025
Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption ACL 2025
Efficient Decoding Methods for Language Models on Encrypted Data AACL 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024
PrivCirNet: Efficient Private Inference via Block Circulant Transformation NIPS 2024
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023
Privacy-Preserving Natural Language Processing EACL 2023
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption ICML 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference NIPS 2023
On the Gini-impurity Preservation For Privacy Random Forests NIPS 2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference NIPS 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023