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	CrypTFlow : Secure TensorFlow Inference (IEEE Symposium on Security and Privacy) View
	CrypTFlow Secure TensorFlow Inference (All Hacking Cons) View
	USENIX Security '22 - SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost (USENIX) View
	ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks (IEEE Symposium on Security and Privacy) View
	[4C] LLAMA: A Low Latency Math Library for Secure Inference (Privacy Enhancing Technologies Symposium) View
	USENIX Security '21 - Muse: Secure Inference Resilient to Malicious Clients (USENIX) View
	USENIX Security '22 - Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference (USENIX) View
	USENIX Security '20 - Delphi: A Cryptographic Inference Service for Neural Networks (USENIX) View
	Learning on Large-Scale Data with Security u0026 Privacy (Google TechTalks) View
	[2B] Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning (Privacy Enhancing Technologies Symposium) View