DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models | Paper Citation Record

Observation 514f634e-f01e-4ef0-83d0-b2d3ecf5ded6 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 1

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Observation 5408b4fe-3282-4f76-bfe9-e8dde872c1ce · outbound

This paper cites GPT-4 Technical Report.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models GPT-4 Technical Report

Reference 2

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Observation 90fdb593-6ea7-4105-93ae-c881a1670dd9 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 3

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Observation 9b04a673-929c-45c4-8503-767e225cd1c4 · outbound

This paper cites The Llama 3 Herd of Models.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models The Llama 3 Herd of Models

Reference 4

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Observation 462272d8-d3a6-4dfc-afb0-fc5d158c5ea7 · outbound

This paper cites Qwen2.5 Technical Report.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Qwen2.5 Technical Report

Reference 5

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Observation dfc92d52-59e3-4872-8b40-4a22ed61fb0e · outbound

This paper cites Information leakage in embedding models,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Information leakage in embedding models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.860388Z

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Observation e22795bb-2505-4e55-a8b4-4c964a96cf25 · outbound

This paper cites Privacy risks of general- purpose language models,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Privacy risks of general- purpose language models,

Reference 7

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Observation 0fa94bb7-1323-4ac6-931f-f5f848d9ede2 · outbound

This paper cites Sentinellms: Encrypted input adaptation and fine-tuning of language models for private and secure inference,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Sentinellms: Encrypted input adaptation and fine-tuning of language models for private and secure inference,

Reference 8

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Observation 845ae493-3810-4e54-bcfb-2a6650795c4d · outbound

This paper cites Obfuslm: Privacy-preserving language model service against embedding inversion attacks,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Obfuslm: Privacy-preserving language model service against embedding inversion attacks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.824696Z

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Observation 50f32689-c77f-4074-b43a-48ec3693d5c3 · outbound

This paper cites Datamix: Efficient privacy-preserving edge-cloud inference,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Datamix: Efficient privacy-preserving edge-cloud inference,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.812979Z

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Observation 3a484a20-ee05-4492-a95b-55141652c6de · outbound

This paper cites Differen- tial privacy for text analytics via natural text sanitization,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Differen- tial privacy for text analytics via natural text sanitization,

Reference 11

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Observation b662d0ec-18fa-4ffb-851b-0356dea4b366 · outbound

This paper cites Differentially private representation for NLP: formal guarantee and an empirical study on privacy and fair- ness,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Differentially private representation for NLP: formal guarantee and an empirical study on privacy and fair- ness,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.789820Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aa172a9f-902c-46b0-b23a-558a97fb5d65 · outbound

This paper cites Dp-forward: Fine-tuning and inference on language models with differential privacy in forward pass,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Dp-forward: Fine-tuning and inference on language models with differential privacy in forward pass,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.778088Z

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Observation 17a0e73c-4826-413e-87a9-e7a26a233fbf · outbound

This paper cites Secure transformer inference made non- interactive,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Secure transformer inference made non- interactive,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.766636Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60ddf643-18ac-4ddc-9207-69d64bb03acc · outbound

This paper cites THOR: secure transformer inference with homomorphic encryption,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models THOR: secure transformer inference with homomorphic encryption,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.754861Z

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Observation bcba56fa-5a22-436c-ae5d-1a82537895de · outbound

This paper cites Bumblebee: Secure two-party inference framework for large transformers,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Bumblebee: Secure two-party inference framework for large transformers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.743173Z

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Observation ac7f40f2-8633-46d1-9f4e-d5683e38a8b0 · outbound

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

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models BOLT: privacy-preserving, accurate and efficient inference for transformers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.731473Z

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Observation 6e9e68f4-5987-477e-b1b0-fce6675f7410 · outbound

This paper cites Depth gives a false sense of privacy: LLM internal states inversion,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Depth gives a false sense of privacy: LLM internal states inversion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.719513Z

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Observation aaec1f93-c64f-49da-abdc-72f08979874a · outbound

This paper cites InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline

Reference 19

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Observation aaf108ec-7347-401b-8621-cdd332063da5 · outbound

This paper cites Natural language understanding with privacy-preserving BERT,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Natural language understanding with privacy-preserving BERT,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.707385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a2f9248-1d78-4773-a648-f4bae080e1c7 · outbound

This paper cites Textobfuscator: Making pre-trained language model a privacy protector via obfuscating word representations,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Textobfuscator: Making pre-trained language model a privacy protector via obfuscating word representations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.695192Z

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Observation 1ec3d5e0-dfe4-4330-a486-342b992f4e7c · outbound

This paper cites A Survey of Large Language Models.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models A Survey of Large Language Models

Reference 22

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Source-reported events for the cited work

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Observation 5efb0b1d-e888-46cb-98c6-2885b49ade14 · outbound

This paper cites Attention is all you need,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Attention is all you need,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.682847Z

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Observation 867924d5-4d8d-4de2-9659-a87dba88c80b · outbound

This paper cites A Survey of Transformers.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models A Survey of Transformers

Reference 24

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Observation 888e58dd-0f18-4762-b2de-5db2f9fd8d9c · outbound

This paper cites A customized text sanitization mechanism with differential privacy,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models A customized text sanitization mechanism with differential privacy,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.670936Z

Source-reported events for the cited work

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Observation 77b8ea52-a147-4e99-9c3e-f7020330e4f4 · outbound

This paper cites Textmixer: Mixing multiple inputs for privacy-preserving inference,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Textmixer: Mixing multiple inputs for privacy-preserving inference,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.658769Z

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Observation 6e8ef500-3f8c-4661-8405-712d3b8e1126 · outbound

This paper cites CAPE: context-aware private embeddings for private language learning,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models CAPE: context-aware private embeddings for private language learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.646354Z

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Observation d918f350-19d9-41b1-a8be-64b41498d697 · outbound

This paper cites Mechanism design via differential pri- vacy,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Mechanism design via differential pri- vacy,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.634266Z

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Observation 10c44fae-86ac-4b4c-bdee-58a827ab6247 · outbound

This paper cites An inversion attack against obfuscated embedding matrix in language model inference,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models An inversion attack against obfuscated embedding matrix in language model inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.622303Z

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Observation 2d4dcac6-a687-454a-a42f-861a4abd11e8 · outbound

This paper cites Prompt inversion attack against collaborative inference of large language models,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Prompt inversion attack against collaborative inference of large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.609846Z

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Observation 0d7fa09d-bb03-477f-b100-c7a460be4021 · outbound

This paper cites Exploiting unintended feature leakage in collaborative learning,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Exploiting unintended feature leakage in collaborative learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.596845Z

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Observation e0f00ab5-0565-4733-b9d2-67d41b4ec580 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 32

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Observation db17514c-d882-4460-a12f-e222172e9ced · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.569845Z

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Observation 9e477458-9b31-4111-a888-c4e4ff8109d3 · outbound

This paper cites Bootstrap your own latent - A new approach to self-supervised learning,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Bootstrap your own latent - A new approach to self-supervised learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.557375Z

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Observation 89035a27-7a37-4b3a-8fe9-eb149a3f233e · outbound

This paper cites Gradient surgery for multi-task learning,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Gradient surgery for multi-task learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.544433Z

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Observation 9073d9c3-4c93-44a4-ba46-8141f1bfd052 · outbound

This paper cites Curriculum learning,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Curriculum learning,

Reference 36

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Observation abe23daf-c5ed-42ca-a835-3f413340dc73 · outbound

This paper cites Curriculum Learning: A Survey.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Curriculum Learning: A Survey

Reference 37

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DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 38

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This paper cites Lora: Low-rank adaptation of large language models,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Lora: Low-rank adaptation of large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.510629Z

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Observation d7f34f26-fc78-430d-9a69-d63269b25748 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models PyTorch: An imperative style, high-performance deep learning library,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.498049Z

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Observation b3c303e0-1387-4da6-b937-9d8b7818aa9e · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 41

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Observation 41cf1dd6-7412-4f57-b788-d5ddd176a6f2 · outbound

This paper cites Qwen3.5-27b.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Qwen3.5-27b

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.485391Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 638e1546-c60b-4a47-916c-6ac2d1762e3b · outbound

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

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.474148Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acf1634c-b853-48ba-ae33-cbfbae8f91ac · outbound

This paper cites Introduction to the conll- 2003 shared task: Language-independent named entity recognition,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Introduction to the conll- 2003 shared task: Language-independent named entity recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.462196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b0eb200-4ce3-410a-a08a-f876e653e6be · outbound

This paper cites Character-level convolutional networks for text classification,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Character-level convolutional networks for text classification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.450197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e8b6e92-9047-4ce3-af51-ce4fb233a5ef · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 46

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Source-reported events for the cited work

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Observation 1e4e0ebb-09e8-4ee5-ada0-160b12f9b4e2 · outbound

This paper cites Medical meadow medqa dataset.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Medical meadow medqa dataset

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.438867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19b3a519-f0c7-456e-b970-f33b0e153ded · outbound

This paper cites Enron emails dataset.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Enron emails dataset

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.427355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30a48394-8de4-459f-b4dc-939918a04ef7 · outbound

This paper cites seqeval: A python framework for sequence labeling evaluation,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models seqeval: A python framework for sequence labeling evaluation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.415751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84990caf-9d23-40ef-a647-7752b7c71f9a · outbound

This paper cites Sentence-level privacy for document embeddings,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Sentence-level privacy for document embeddings,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.404122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d664257-3073-41d0-858a-179c2738b4a2 · outbound

This paper cites Stanford alpaca: An instruction- following llama model.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Stanford alpaca: An instruction- following llama model

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.391597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 861e9950-f642-4d23-9020-06060507dfc5 · outbound

This paper cites Textfusion: Privacy-preserving pre-trained model inference via token fusion,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Textfusion: Privacy-preserving pre-trained model inference via token fusion,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.366167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89664a5c-5a74-4118-8c58-b03c1938c1b4 · outbound

This paper cites Towards privacy-preserving LLM inference via covariant obfuscation (technical report),.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Towards privacy-preserving LLM inference via covariant obfuscation (technical report),

Reference 53

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:44:17.944271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0f8f21b-0a46-44f8-b188-c89f288de0d9 · outbound

This paper cites Eguard: Defending LLM embeddings against inversion attacks via text mutual information optimization,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Eguard: Defending LLM embeddings against inversion attacks via text mutual information optimization,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.352990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19357dd7-7da5-4612-9cf9-74b6448d4f86 · outbound

This paper cites ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T14:44:17.752188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 810f0b74-0601-4519-823e-7672bbfd901d · outbound

This paper cites Pleak: Prompt leaking attacks against large language model applications,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Pleak: Prompt leaking attacks against large language model applications,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.340896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5be49ba8-da61-46ff-8424-aa45f3071f8e · outbound

This paper cites Prompt obfusca- tion for large language models,.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Prompt obfusca- tion for large language models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.329185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16ccfab2-80de-48c9-bf40-d25438bc5c59 · outbound

This paper cites an unresolved cited work.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:44:18.316815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d384d0b1-f564-45d7-a66e-ed59d52b6953 · outbound

This paper cites Letz=PP Tg.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Letz=PP Tg

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.305137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20556841-58d2-4f2e-a023-74c327c20c35 · outbound

This paper cites Unless otherwise stated, we set(p m,σ) = (0.2,0.2) for weak augmentation views, and(p m,σ) = (0.4,0.4) for strong augmentation views.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unless otherwise stated, we set(p m,σ) = (0.2,0.2) for weak augmentation views, and(p m,σ) = (0.4,0.4) for strong augmentation views

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.292557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03b5f751-f780-4417-ace1-c09489ac8f8c · outbound

This paper cites real split.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models real split

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.279385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e31d7aee-bae7-43d3-b051-5793aabb16e7 · outbound

This paper cites As before, we focus on RoBERTa-based models; the corresponding BERT results exhibit the same qualitative trends and lead to identical conclusions.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models As before, we focus on RoBERTa-based models; the corresponding BERT results exhibit the same qualitative trends and lead to identical conclusions

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.267424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22ab3d1f-1702-448f-8dd9-2e13d5576e00 · outbound

This paper cites Under DPNR (ϵ= 15), LLaMA3-8B hidden states have an ab- solute mean of 0.3661 while Qwen3.5-27B’s are 0.0843; the injected noise (mean 0.0562) is model-independent.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Under DPNR (ϵ= 15), LLaMA3-8B hidden states have an ab- solute mean of 0.3661 while Qwen3.5-27B’s are 0.0843; the injected noise (mean 0.0562) is model-independent

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.254843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42484366-2209-4812-ac8c-e7f67165d2ed · outbound

This paper cites These approaches remain far too expensive for practical deployment.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models These approaches remain far too expensive for practical deployment

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.242784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48dc1224-a8e2-4338-b5eb-382e32206e47 · outbound

This paper cites In most cases, InvBert fails to reconstruct fluent sentences that preserve the original semantics, whereasDeepInvert recovers the majority of the original content.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models In most cases, InvBert fails to reconstruct fluent sentences that preserve the original semantics, whereasDeepInvert recovers the majority of the original content

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.230433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 620d43b2-eac2-4be9-949a-c8832ec7c12a · outbound

This paper cites However, whenL s andL (k) u have conflicting gradients, a fixedλyields a compromise update that attenuates use- ful components—a phenomenon known asgradient con- flict[35].

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models However, whenL s andL (k) u have conflicting gradients, a fixedλyields a compromise update that attenuates use- ful components—a phenomenon known asgradient con- flict[35]

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.217441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2a326bf-e935-4c21-a5fc-d50be2baa7cc · outbound

This paper cites This shares a similar motivation with the projection step in TABLE 9: Attack performance on various defenses of sentence-level and token-level multi-class classification tasks.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models This shares a similar motivation with the projection step in TABLE 9: Attack performance on various defenses of sentence-level and token-level multi-class classification tasks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.204777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c910065-5740-4ea2-9904-8df82a212f26 · outbound

This paper cites This resemblescurriculum learningover objectives [36], [37].

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models This resemblescurriculum learningover objectives [36], [37]

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.191838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 663ae4f6-90c8-4298-80f2-703d2813188c · outbound

This paper cites Your task is to identify and annotate sensitive information in English text by wrapping each sensitive span with <sensitive> and </sensitive> tags.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Your task is to identify and annotate sensitive information in English text by wrapping each sensitive span with <sensitive> and </sensitive> tags

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.179218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b30b546c-fc49-441d-833b-25b84f80f568 · outbound

This paper cites Dr. Smith.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Dr. Smith

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.166094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 96a882cc-fce4-42ec-b16f-5506b8c3fa95 · outbound

This paper cites major depressive disorder.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models major depressive disorder

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.152066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b7aa9fb-7eec-4c83-b1cb-35cc5088307a · outbound

This paper cites an unresolved cited work.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:44:18.139594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45211df4-69f9-4aaf-9ae3-60a797d4e38a · outbound

This paper cites an unresolved cited work.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:44:18.126558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e24103c-3ecf-4deb-8b19-65eca5ca94fb · outbound

This paper cites an unresolved cited work.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:44:18.113733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89386856-b9b5-4d4b-9dd7-a388e3d654e8 · outbound

This paper cites blood pressure is 152/94 mm Hg.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models blood pressure is 152/94 mm Hg

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:18.100865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4619ae26-8532-4a72-9221-edc127414a27 · outbound

This paper cites an unresolved cited work.

DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models Unresolved cited work

Reference 2023

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T14:44:18.379241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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