Covert Attacks on Machine Learning Training in Passively Secure MPC | Paper Citation Record

Observation c4b91da9-5ccc-452a-ba4c-ce8782ff8fc2 · outbound

This paper cites SecureML: A system for scalable privacy-preserving machine learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC SecureML: A system for scalable privacy-preserving machine learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.594737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b60adb3e-2c62-47e5-a902-3dd5995be7b8 · outbound

This paper cites SecureNN: 3-party secure computation for neural network training,.

Covert Attacks on Machine Learning Training in Passively Secure MPC SecureNN: 3-party secure computation for neural network training,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.585600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f85e5b2-6dde-40f7-bf00-2f83ed0770e1 · outbound

This paper cites Falcon: Honest- majority maliciously secure framework for private deep learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Falcon: Honest- majority maliciously secure framework for private deep learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.576216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ced23595-0e45-4a49-8d01-d00ab6604dd4 · outbound

This paper cites Secure quantized training for deep learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Secure quantized training for deep learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.565941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8dd2c039-0d6d-4633-9b9a-07a6e872f06a · outbound

This paper cites Cryptographically private support vector machines,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Cryptographically private support vector machines,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.556668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 486d749c-e2b2-49c1-aceb-d2b69aaf4ca2 · outbound

This paper cites ABY - A framework for efficient mixed-protocol secure two-party computation,.

Covert Attacks on Machine Learning Training in Passively Secure MPC ABY - A framework for efficient mixed-protocol secure two-party computation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.547237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10691e4d-9f40-45cb-b75d-05d4d802ac36 · outbound

This paper cites Cerebro: A platform for multi-party cryptographic collaborative learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Cerebro: A platform for multi-party cryptographic collaborative learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.537915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3648f861-9fc9-496d-a7b7-2c22f4bdf81a · outbound

This paper cites Manticore: Efficient framework for scalable secure multiparty computation protocols,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Manticore: Efficient framework for scalable secure multiparty computation protocols,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.528293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ed4198e-dce5-4c91-968f-eb8cbd59313d · outbound

This paper cites Private collaborative neural network learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Private collaborative neural network learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.518183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9569797b-7619-4941-9de2-b5b2c462cd34 · outbound

This paper cites BOLT: Privacy-preserving, accurate and efficient inference for transformers,.

Covert Attacks on Machine Learning Training in Passively Secure MPC BOLT: Privacy-preserving, accurate and efficient inference for transformers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.508566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ab52f49-1394-4a0d-b963-4777f8a3a061 · outbound

This paper cites Iron: Private inference on transformers,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Iron: Private inference on transformers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.499040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e58f399b-59bb-4eb6-addb-8e4e9aecf3de · outbound

This paper cites Sharemind: A framework for fast privacy-preserving computations,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Sharemind: A framework for fast privacy-preserving computations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.489821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a02adeac-cc92-497f-a6e9-ad7bdb95657d · outbound

This paper cites an unresolved cited work.

Covert Attacks on Machine Learning Training in Passively Secure MPC Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:34.480467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a89f051-8e44-47bc-82ab-7a9dde0a40b7 · outbound

This paper cites Private Machine Learning in TensorFlow using Secure Computation.

Covert Attacks on Machine Learning Training in Passively Secure MPC Private Machine Learning in TensorFlow using Secure Computation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.719410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4101bc9-d5c7-45a2-90ba-0867ee7fa9be · outbound

This paper cites Mpyc: Multiparty computation in python,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Mpyc: Multiparty computation in python,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.471239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68a65ff4-6f16-475e-bca5-58452c13ac8d · outbound

This paper cites CryptGPU: Fast privacy-preserving machine learning on the GPU,.

Covert Attacks on Machine Learning Training in Passively Secure MPC CryptGPU: Fast privacy-preserving machine learning on the GPU,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.462249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d428cac5-1a0a-4bfe-9051-2920dcd6e0cd · outbound

This paper cites Flash boys 2.0: Frontrunning in decentralized exchanges, miner extractable value, and consensus instability,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Flash boys 2.0: Frontrunning in decentralized exchanges, miner extractable value, and consensus instability,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.452842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94f2b2a4-3edb-4402-891b-a7aed82e382d · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd?.

Covert Attacks on Machine Learning Training in Passively Secure MPC Auditing differentially private machine learning: How private is private sgd?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.443372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e549c80a-fa65-4b6f-a597-3a1e4533d5ee · outbound

This paper cites Adversary instantiation: Lower bounds for differentially private machine learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Adversary instantiation: Lower bounds for differentially private machine learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.432786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6c0b8d2-4189-401b-a2ea-47576c011753 · outbound

This paper cites Security against covert adversaries: Efficient protocols for realistic adversaries,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Security against covert adversaries: Efficient protocols for realistic adversaries,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.423107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9ea0a51-f8c6-4710-87ac-34858ae64120 · outbound

This paper cites CrypTFlow: Secure TensorFlow inference,.

Covert Attacks on Machine Learning Training in Passively Secure MPC CrypTFlow: Secure TensorFlow inference,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.413938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60cfa606-416a-4dbe-8b12-a4bd791d0add · outbound

This paper cites Truncation untangled: Scaling fixed-point arithmetic for privacy-preserving machine learning to large models and datasets,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Truncation untangled: Scaling fixed-point arithmetic for privacy-preserving machine learning to large models and datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.404564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef108fb1-0ca9-47e1-9f1b-81371befa5b2 · outbound

This paper cites Circuits resilient to additive attacks with applications to secure computation,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Circuits resilient to additive attacks with applications to secure computation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.394569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b94eb1f-b012-4d11-b2d8-89af0c741cfb · outbound

This paper cites Exploiting machine learning to subvert your spam filter.

Covert Attacks on Machine Learning Training in Passively Secure MPC Exploiting machine learning to subvert your spam filter

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.384756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e73269f-ec8b-416c-b6bc-9f4dc465b5ba · outbound

This paper cites How to backdoor federated learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC How to backdoor federated learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.761111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138c3c66-26ce-4228-b8e0-dbc2219a71e0 · outbound

This paper cites Poisoning Attacks against Support Vector Machines.

Covert Attacks on Machine Learning Training in Passively Secure MPC Poisoning Attacks against Support Vector Machines

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.764136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b98251-71ab-4c18-9a4a-3ae4641bf21d · outbound

This paper cites Manipulating ma- chine learning: Poisoning attacks and countermeasures for regression learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Manipulating ma- chine learning: Poisoning attacks and countermeasures for regression learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.370326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e76f7c75-3919-47e4-8cdd-687b8ce4b8d2 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Covert Attacks on Machine Learning Training in Passively Secure MPC BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.771537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b652768f-63c7-4b92-b203-847035e57fd8 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Covert Attacks on Machine Learning Training in Passively Secure MPC Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.774904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c577fb7-88d7-4818-ac60-ff4dfdb99cf4 · outbound

This paper cites When does machine learning FAIL? Generalized transferability for evasion and poisoning attacks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC When does machine learning FAIL? Generalized transferability for evasion and poisoning attacks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.360435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 912afcb9-6949-4e46-b177-aff98fcd25da · outbound

This paper cites Poison frogs! targeted clean-label poisoning attacks on neural networks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Poison frogs! targeted clean-label poisoning attacks on neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.351573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ae0291f-9cdf-49e4-b95f-0e8c3fe60889 · outbound

This paper cites Subpopulation data poisoning at- tacks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Subpopulation data poisoning at- tacks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.342735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39fa9741-88d0-49a1-bfe0-3df9dfe90a4a · outbound

This paper cites Membership inference attacks against machine learning models,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Membership inference attacks against machine learning models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.333569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 356e62f1-1d66-4132-a485-632121dfbc26 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.324440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7bb0f7d-3fc5-47dd-9cf7-a29986088b61 · outbound

This paper cites Membership inference attacks from first principles,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Membership inference attacks from first principles,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.794302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec4523b-2367-49b5-b01b-c97570fbfa34 · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Enhanced membership inference attacks against machine learning models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.310447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 219e884d-09b5-4503-b4c1-088f5119afa9 · outbound

This paper cites Extracting training data from large language models,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Extracting training data from large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.301567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7946920-f8a5-4a24-861a-0f3d11dd396f · outbound

This paper cites Reconstructing training data with informed adversaries,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Reconstructing training data with informed adversaries,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.292520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1b5eac1-ee3a-44a2-8455-0a3b5e8e351c · outbound

This paper cites A Note On Interpreting Canary Exposure.

Covert Attacks on Machine Learning Training in Passively Secure MPC A Note On Interpreting Canary Exposure

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.806480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec99cc9-1c7a-411c-80c2-4f36f3e7326e · outbound

This paper cites Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy.

Covert Attacks on Machine Learning Training in Passively Secure MPC Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:31:33.978883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 019cd2f7-7aca-4c43-a101-091dcd39cbe8 · outbound

This paper cites Muse: Secure inference resilient to malicious clients,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Muse: Secure inference resilient to malicious clients,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.283393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 735913f9-e2d3-4dad-aa54-37ac38f391ba · outbound

This paper cites SafeNet: Mitigating data poisoning attacks on private machine learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC SafeNet: Mitigating data poisoning attacks on private machine learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.273848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4beb931-9b53-4571-ad10-8eda2119b2e1 · outbound

This paper cites Improved primitives for MPC over mixed arithmetic-binary circuits,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Improved primitives for MPC over mixed arithmetic-binary circuits,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.264206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cfe8db6f-6248-423c-974b-06175b61ca83 · outbound

This paper cites ABY3: A mixed protocol framework for machine learning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC ABY3: A mixed protocol framework for machine learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.253673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6bce3bb-c846-4da2-a534-40f213de7b21 · outbound

This paper cites Benchmarking privacy preserving scientific operations,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Benchmarking privacy preserving scientific operations,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.244211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7e50a9a-38c0-4d62-b652-eef7713bdf22 · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Property inference attacks on fully connected neural networks using permutation invariant representations,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.234166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9988844-cd85-43a5-81b1-5122a36a7238 · outbound

This paper cites Reverse-engineering deep ReLU networks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Reverse-engineering deep ReLU networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.224884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 513240e1-35fb-44e0-af07-df74f0c88499 · outbound

This paper cites High accuracy and high fidelity extraction of neural networks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC High accuracy and high fidelity extraction of neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.215506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1f0940a-3cdb-40cb-8ce0-3c0af77514c7 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

Covert Attacks on Machine Learning Training in Passively Secure MPC JAX: composable transformations of Python+NumPy programs,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.839522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e748bfb-d370-4ccf-87cb-825dda94fd86 · outbound

This paper cites Analyzing federated learning through an adversarial lens,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Analyzing federated learning through an adversarial lens,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.200779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a249a716-6c75-45a0-8c27-7f08081c183e · outbound

This paper cites Editing Models with Task Arithmetic.

Covert Attacks on Machine Learning Training in Passively Secure MPC Editing Models with Task Arithmetic

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.846382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731f19f2-cf08-4c0b-ace0-adf18ae35ac8 · outbound

This paper cites Handcrafted backdoors in deep neural networks,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Handcrafted backdoors in deep neural networks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.191414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04a4bea5-950d-4173-995f-75cc564e33de · outbound

This paper cites When the curious abandon honesty: Federated learning is not private,.

Covert Attacks on Machine Learning Training in Passively Secure MPC When the curious abandon honesty: Federated learning is not private,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.181554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfe2941c-29bf-495d-be89-e08640249fb9 · outbound

This paper cites To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods.

Covert Attacks on Machine Learning Training in Passively Secure MPC To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:31:33.958032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89b2313d-2346-461e-9e9d-35e295b821fc · outbound

This paper cites Poisoning attacks on algorithmic fairness,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Poisoning attacks on algorithmic fairness,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.859113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02911bd7-6b57-4b95-9f30-a350a458689a · outbound

This paper cites On Adversarial Bias and the Robustness of Fair Machine Learning.

Covert Attacks on Machine Learning Training in Passively Secure MPC On Adversarial Bias and the Robustness of Fair Machine Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.862634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc189feb-b6d8-4156-8339-50d2cf354a19 · outbound

This paper cites Amplifying membership exposure via data poisoning,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Amplifying membership exposure via data poisoning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.167418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9f0f6b9-dd35-4122-b4d1-8a129eaded99 · outbound

This paper cites Truth serum: Poisoning machine learning models to reveal their secrets,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Truth serum: Poisoning machine learning models to reveal their secrets,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.158411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ba1f057-44f2-43ff-aa83-9cf75ca075e7 · outbound

This paper cites The privacy onion effect: Memorization is relative,.

Covert Attacks on Machine Learning Training in Passively Secure MPC The privacy onion effect: Memorization is relative,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.149160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3476df3d-dcad-4843-9c4e-3578bfcafc8c · outbound

This paper cites Cryptography secure against related-key attacks and tampering,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Cryptography secure against related-key attacks and tampering,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.139624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be7ddfc7-748f-459c-a075-f7e22cd6c199 · outbound

This paper cites Related-key security for pseudorandom functions beyond the linear barrier,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Related-key security for pseudorandom functions beyond the linear barrier,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.130329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a97a416b-3ff9-4a51-a75b-d0b7a813c9bc · outbound

This paper cites Learning representations by back- propagating errors,.

Covert Attacks on Machine Learning Training in Passively Secure MPC Learning representations by back- propagating errors,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.120465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1bff0d8-18c2-4544-9504-abd8063991bd · outbound

This paper cites Protocol:.

Covert Attacks on Machine Learning Training in Passively Secure MPC Protocol:

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.110229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26581aa4-b564-463d-8de7-efcb0bb3c66a · outbound

This paper cites an unresolved cited work.

Covert Attacks on Machine Learning Training in Passively Secure MPC Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:34.092539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b4051e93-88a9-4528-ba83-6cf2c718aa67 · outbound

This paper cites Figure 5: Parameter Transfer Attack from Section 5.1 Neuron Override Input:Trigger δ, data mean µ, mean scaling α, target neuron index j.

Covert Attacks on Machine Learning Training in Passively Secure MPC Figure 5: Parameter Transfer Attack from Section 5.1 Neuron Override Input:Trigger δ, data mean µ, mean scaling α, target neuron index j

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.073492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d32147f2-898d-49e8-b98b-00a2245b24e7 · outbound

This paper cites Figure 6: Neuron Override Attack from Section 5.2 Scaling for Reconstruction Attacks Input:Attacker protocol inputs: Attacker target class (one hot vector) y, scaling strength C.

Covert Attacks on Machine Learning Training in Passively Secure MPC Figure 6: Neuron Override Attack from Section 5.2 Scaling for Reconstruction Attacks Input:Attacker protocol inputs: Attacker target class (one hot vector) y, scaling strength C

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.063727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0db1ac4c-7faf-4255-a5c8-16c22b79fce4 · outbound

This paper cites an unresolved cited work.

Covert Attacks on Machine Learning Training in Passively Secure MPC Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:34.101340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 257db303-4076-4d67-98d9-8e1e7a20ac3a · outbound

This paper cites an unresolved cited work.

Covert Attacks on Machine Learning Training in Passively Secure MPC Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:34.054397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5158db18-5528-4361-b55c-b028596dea96 · outbound

This paper cites an unresolved cited work.

Covert Attacks on Machine Learning Training in Passively Secure MPC Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:34.083429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f16e7b26-dcf8-4924-b4bf-2df1b32c81cd · outbound

This paper cites After Protocol (Reconstruction):.

Covert Attacks on Machine Learning Training in Passively Secure MPC After Protocol (Reconstruction):

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.045164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1850e35f-8ee6-4c74-83af-81dfd9d723a5 · outbound

This paper cites flip” parameters will flip the results of comparisons made in the MPC sigmoid. To flip only one element of a batch, the corresponding “flip.

Covert Attacks on Machine Learning Training in Passively Secure MPC flip” parameters will flip the results of comparisons made in the MPC sigmoid. To flip only one element of a batch, the corresponding “flip

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:34.035526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5eb256f-252c-4a77-8907-7e97d0ad4976 · outbound

This paper cites CrypTen: Secure Multi-Party Computation Meets Machine Learning.

Covert Attacks on Machine Learning Training in Passively Secure MPC CrypTen: Secure Multi-Party Computation Meets Machine Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.729910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers