Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators | Paper Citation Record

Observation 3caf8046-5c54-4553-95d6-e3b6c62c9dc1 · outbound

This paper cites Attention is all you need,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Attention is all you need,

Reference 1

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Observation 8a9606f1-167f-4411-b5b5-394a84794ab4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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Observation fd6ee792-28d3-44ea-bf08-ac5be1aefe27 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators LLaMA: Open and Efficient Foundation Language Models

Reference 4

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Observation 4863cd9d-1097-445f-966d-61cd16fe45d7 · outbound

This paper cites Gpt-3: Its nature, scope, limits, and consequences,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Gpt-3: Its nature, scope, limits, and consequences,

Reference 5

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Observation aba068cc-fb0f-48e6-9269-9d02103ba5b9 · outbound

This paper cites Applications of machine learning to diagnosis and treatment of neu- rodegenerative diseases,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Applications of machine learning to diagnosis and treatment of neu- rodegenerative diseases,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:01.772821Z

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Observation cde56525-f190-4701-95d3-78b0fdcc64ca · outbound

This paper cites Improving the accuracy of med- ical diagnosis with causal machine learning,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Improving the accuracy of med- ical diagnosis with causal machine learning,

Reference 7

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Observation bed30c69-fe9e-4438-a7ef-c8a752b2b600 · outbound

This paper cites Deep learning for finance: deep portfolios,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Deep learning for finance: deep portfolios,

Reference 8

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Observation 802bd81a-cb92-48e8-81d0-019128b63e50 · outbound

This paper cites Hey alexa. . . examine the variables influencing the use of artificial intelligent in-home voice assistants,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Hey alexa. . . examine the variables influencing the use of artificial intelligent in-home voice assistants,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:00.968034Z

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Observation 07183a95-37b9-49f4-baca-95d3bb7b5d10 · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Learning to communicate with deep multi-agent reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:00.820861Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f476deac-a827-4cd7-a480-1344fa7ddd2e · outbound

This paper cites Chex-mix: Com- bining homomorphic encryption with trusted execution environments for oblivious inference in the cloud,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Chex-mix: Com- bining homomorphic encryption with trusted execution environments for oblivious inference in the cloud,

Reference 11

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Observation 5599ef1f-e22f-4a81-b0de-6d3924c19c60 · outbound

This paper cites Cipherprune: Efficient and scalable private transformer inference,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Cipherprune: Efficient and scalable private transformer inference,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:00.448734Z

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Observation 79438d4e-46e5-4018-8de9-ca3c1bd8b500 · outbound

This paper cites Primer: Fast private transformer inference on encrypted data,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Primer: Fast private transformer inference on encrypted data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:00.190813Z

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Observation d9939f9f-49b6-4089-9768-dfa05eff8ab1 · outbound

This paper cites Breakingformation: Orca security research team discovers aws cloudformation vulnerability,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Breakingformation: Orca security research team discovers aws cloudformation vulnerability,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:00.020231Z

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Observation 5153ac8a-652b-4925-81bb-1190faaa7177 · outbound

This paper cites Google cloud: Here are the six’best’vulnerabilities security researchers found last year,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Google cloud: Here are the six’best’vulnerabilities security researchers found last year,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:59.840822Z

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Observation e9d81419-202c-4695-851c-e0056dfb5458 · outbound

This paper cites Intel® software guard extensions (intel® sgx) developer guide,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Intel® software guard extensions (intel® sgx) developer guide,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:59.644746Z

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Observation 8f87d294-be0e-4b5f-a4ec-98d5712251a2 · outbound

This paper cites Intel® software guard extensions (intel® sgx) developer guide,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Intel® software guard extensions (intel® sgx) developer guide,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:59.508102Z

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Observation 95f4d1f4-5587-4f6c-86f6-b0e72eff7a13 · outbound

This paper cites Mlcapsule: Guarded offline deployment of machine learning as a service,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Mlcapsule: Guarded offline deployment of machine learning as a service,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:59.338215Z

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Observation fda74ceb-812c-4119-a4a9-a057f88e30fd · outbound

This paper cites Slalom: Fast, verifiable and private execution of neural networks in trusted hardware,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Slalom: Fast, verifiable and private execution of neural networks in trusted hardware,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:59.133760Z

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Observation 4b191394-42a0-4588-bc82-0abd1c3a7025 · outbound

This paper cites Shad- ownet: A secure and efficient on-device model inference system for convolutional neural networks,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Shad- ownet: A secure and efficient on-device model inference system for convolutional neural networks,

Reference 20

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Observation b6944861-3ac2-4d8f-a543-8390ca6a6222 · outbound

This paper cites {SOTER}: Guarding black-box inference for general neural networks at the edge,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators {SOTER}: Guarding black-box inference for general neural networks at the edge,

Reference 21

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Observation 4d5cd42f-a7a9-4a86-9640-dd1fea135aeb · outbound

This paper cites Darknight: An accelerated framework for privacy and integrity preserving deep learning using trusted hardware,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Darknight: An accelerated framework for privacy and integrity preserving deep learning using trusted hardware,

Reference 22

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Observation d4ddc311-2245-4425-8697-4fc426a7c58f · outbound

This paper cites Trinity: A general purpose fhe accelerator,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Trinity: A general purpose fhe accelerator,

Reference 23

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Observation 2d31d143-6f00-4da9-8b94-cd70da4a3804 · outbound

This paper cites Boostcom: Towards efficient universal fully homomorphic encryption by boosting the word-wise comparisons,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Boostcom: Towards efficient universal fully homomorphic encryption by boosting the word-wise comparisons,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:58.589095Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7286fdbc-df6d-4edc-a1f2-a0cde35db3bd · outbound

This paper cites Probabilistic machines can use less running time.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Probabilistic machines can use less running time

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:58.379274Z

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Observation b7caf75e-ae8c-4782-841b-6af73f78077c · outbound

This paper cites GPT-4 Technical Report.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators GPT-4 Technical Report

Reference 26

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Observation db3c8252-c1d0-40b9-a9f1-46e2da71108c · outbound

This paper cites Medical gpt,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Medical gpt,

Reference 27

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Observation 72e5bdbb-d970-4701-8420-6f58a09b5055 · outbound

This paper cites Finance gpt,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Finance gpt,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:57.934417Z

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Observation 65044d5d-acc1-4ad7-b08b-0f0c103bf9ea · outbound

This paper cites Foreshadow: Extracting the keys to the intel {SGX} kingdom with transient {Out- of-Order} execution,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Foreshadow: Extracting the keys to the intel {SGX} kingdom with transient {Out- of-Order} execution,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:57.791224Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3273266f-f29e-4a5a-a119-5fc00bdc9fca · outbound

This paper cites Ridl: Rogue in-flight data load,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Ridl: Rogue in-flight data load,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:57.635625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63db2936-797f-4f19-b8e0-4ccf9c588be0 · outbound

This paper cites Fallout: Leaking data on meltdown-resistant cpus,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Fallout: Leaking data on meltdown-resistant cpus,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:57.477229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 237e924f-f3c7-4498-a1ee-371969629c3b · outbound

This paper cites Dr. sgx: Automated and adjustable side-channel protection for sgx using data location randomization,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Dr. sgx: Automated and adjustable side-channel protection for sgx using data location randomization,

Reference 32

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 338b9f8c-03dc-4a86-ba13-f0adf712d9d4 · outbound

This paper cites A survey of microarchitectural side-channel vulnerabilities, attacks, and defenses in cryptography,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators A survey of microarchitectural side-channel vulnerabilities, attacks, and defenses in cryptography,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:57.027070Z

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Observation be981dc2-5406-444c-a608-a0e0ad1ab076 · outbound

This paper cites Controlled-channel attacks: Deter- ministic side channels for untrusted operating systems,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Controlled-channel attacks: Deter- ministic side channels for untrusted operating systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:56.815529Z

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Observation 773a69ef-0819-48a9-8bfe-fb97adaa45c5 · outbound

This paper cites Nvidia hopper h100 gpu: Scaling performance,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Nvidia hopper h100 gpu: Scaling performance,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:56.664699Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c201cd64-3401-4099-b6a2-6ce726df0497 · outbound

This paper cites Cramer, I.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Cramer, I

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:56.484410Z

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Observation b7237493-7db7-48b9-8752-d588e36c5be2 · outbound

This paper cites Aby-a framework for efficient mixed-protocol secure two-party computation.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Aby-a framework for efficient mixed-protocol secure two-party computation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:56.307464Z

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Observation 52a928a3-e1ca-4d19-a230-5485c66d0039 · outbound

This paper cites She: A fast and accurate deep neural network for encrypted data,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators She: A fast and accurate deep neural network for encrypted data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:56.141763Z

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Observation c769eb9a-8e16-4529-b0b2-4312e78b4414 · outbound

This paper cites The-v: Verifiable privacy-preserving neural network via trusted homomorphic execution,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators The-v: Verifiable privacy-preserving neural network via trusted homomorphic execution,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.957682Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6fa52a68-f48a-4a90-968e-54e79e9b8bd4 · outbound

This paper cites TensorSCONE: A Secure TensorFlow Framework using Intel SGX.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators TensorSCONE: A Secure TensorFlow Framework using Intel SGX

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:23:52.066312Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81158fde-af8b-47d2-9d6d-0ac07a3a3d77 · outbound

This paper cites Occlumency: Privacy-preserving remote deep-learning inference using sgx,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Occlumency: Privacy-preserving remote deep-learning inference using sgx,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.768869Z

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Observation 6aa06398-af72-4abc-99f4-c9ba0a762cb8 · outbound

This paper cites Nnsplitter: an active defense solu- tion for dnn model via automated weight obfuscation,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Nnsplitter: an active defense solu- tion for dnn model via automated weight obfuscation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.633443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4512c4f-a44a-4780-b16b-d41ed0ea3789 · outbound

This paper cites No privacy left outside: On the (in-) security of tee-shielded dnn partition for on-device ml,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators No privacy left outside: On the (in-) security of tee-shielded dnn partition for on-device ml,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.491441Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d5bbdd0-0304-4085-b551-c7ce6317c5c5 · outbound

This paper cites Mirrornet: A tee-friendly framework for secure on-device dnn inference,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Mirrornet: A tee-friendly framework for secure on-device dnn inference,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.341444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 924a6f17-467a-41f9-b95e-45ceccfb203e · outbound

This paper cites Teeslice: slicing dnn models for secure and efficient deployment,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Teeslice: slicing dnn models for secure and efficient deployment,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.226481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 149af126-3185-4ba3-9021-e48e10763331 · outbound

This paper cites A public key cryptosystem and a signature scheme based on discrete logarithms,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators A public key cryptosystem and a signature scheme based on discrete logarithms,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:55.120777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d44b4a8a-4c50-4ce2-b875-84b4088108fb · outbound

This paper cites Public-key cryptosystems based on composite degree residu- osity classes,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Public-key cryptosystems based on composite degree residu- osity classes,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:54.952399Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ca2b918-7420-4143-9636-eaa7358b9cd7 · outbound

This paper cites Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:23:51.885552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 51d89d21-61cb-4acd-94a1-9893c99bd323 · outbound

This paper cites Introduction to modern cryptography,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Introduction to modern cryptography,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.184956Z

Source-reported events for the cited work

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Observation cfa781fd-9d5e-4997-a56d-c4af6fe5fc7a · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Learning transferable visual models from natural language supervision,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.258288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efd32c9d-a06c-4b70-8d5f-f8aa91685458 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Imagenet: A large-scale hierarchical image database,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.342909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd505a7c-9f6e-4188-9c20-a9155ab9983a · outbound

This paper cites Recursive deep models for semantic compositionality over a 13 sentiment treebank,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Recursive deep models for semantic compositionality over a 13 sentiment treebank,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:54.775595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e9dee4f-9875-4f85-8ece-a057f1eb479a · outbound

This paper cites Pointer Sentinel Mixture Models.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Pointer Sentinel Mixture Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.523080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b1b148-9210-4d6c-aab8-51da0ac732fa · outbound

This paper cites Eigen v3,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Eigen v3,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.595465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b393e7-1de6-4f08-9081-441cb2a53750 · outbound

This paper cites Chollet et al., “Keras,” https://keras.io, 2015.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Chollet et al., “Keras,” https://keras.io, 2015

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.666789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4111688-5a1b-40d7-9360-7592f2fda6a3 · outbound

This paper cites Post-training quantization for vision transformer,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Post-training quantization for vision transformer,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:50.739672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9734ad01-c9b3-4af9-adf1-1b68c3c2abee · outbound

This paper cites I-bert: Integer-only bert quantization,.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators I-bert: Integer-only bert quantization,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:54.568748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ea6785b-d824-47d4-a3ee-894922247620 · outbound

This paper cites Hugging face.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Hugging face

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:54.346798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e65c9375-5080-4a7e-818c-c463955f37d8 · outbound

This paper cites Katz and Y.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Katz and Y

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:54.198767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 755f2de3-55f2-4cb3-9ad6-78c619f73805 · outbound

This paper cites an unresolved cited work.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:54.076364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a1af17b-4071-4a04-8050-1b237d718b87 · outbound

This paper cites an unresolved cited work.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:53.934834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3f8d05a-5151-494c-972f-81842bf9c677 · outbound

This paper cites Additionally, let X = [x1, ...,xn] where xi ∈ ΦΩ and xi ̸= xj, i, j∈ [n], i ̸= j.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Additionally, let X = [x1, ...,xn] where xi ∈ ΦΩ and xi ̸= xj, i, j∈ [n], i ̸= j

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:53.773656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a025a664-bd55-494b-a234-9e7356032eab · outbound

This paper cites Thus X α = [xσ(1), ...,xσ(n)] represents a possi- ble transformed matrix.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Thus X α = [xσ(1), ...,xσ(n)] represents a possi- ble transformed matrix

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:53.541845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60985240-6e40-4f7b-aab1-d97004326d2d · outbound

This paper cites an unresolved cited work.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:53.257718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c756a9a5-b6fc-4a62-a314-e5a45840e2f2 · outbound

This paper cites Additionlly, it is evident that F ( ˆXa) ⊃ F( ˆXb) where ta = | ˆXa| > | ˆXb| = tb (equivalently, ta > tb).

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Additionlly, it is evident that F ( ˆXa) ⊃ F( ˆXb) where ta = | ˆXa| > | ˆXb| = tb (equivalently, ta > tb)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:52.999792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed4071c6-8fb4-46c3-bdd4-55c1273c298d · outbound

This paper cites an unresolved cited work.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:52.766767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3750db6c-acba-4c96-82d2-d2eb72bbc915 · outbound

This paper cites an unresolved cited work.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:52.614336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d87bc02a-b3dc-4f4e-a32c-0bce7d110b68 · outbound

This paper cites Thus, the probability of correctly guessing all coefficients is 1 2L n.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Thus, the probability of correctly guessing all coefficients is 1 2L n

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:52.502596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e2d0569-c9dd-45d2-bb3f-1d69c6756aa7 · outbound

This paper cites Given the transformed vector X ′ = [ x1 − r1, ..., xi − ri], it is infeasible for an attacker to recover the original vector X = [ x1, x2, ..., xi].

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Given the transformed vector X ′ = [ x1 − r1, ..., xi − ri], it is infeasible for an attacker to recover the original vector X = [ x1, x2, ..., xi]

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:52.391153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Reference resolution

Outbound references

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