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conftrace_

privacy-preserving training

11 papers

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Co-occurring keywords · papers mentioning both

differential privacy (4) model memorization (2) text-to-text transformer (2) language model (2) federated learning (2) multi-party computation (1) linear communication complexity (1) dropout resilience (1) model initialization (1) multi-hop trigger (1)

Papers

Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025 Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025 Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025 MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users EMNLP 2025 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption ICML 2023 Training Text-to-Text Transformers with Privacy Guarantees ACL 2022 Training Text-to-Text Transformers with Privacy Guarantees NAACL 2022 Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021 An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models Interspeech 2019