ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation | Paper Citation Record

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Advances in neural information processing systems , volume=

Reference 2

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation ACM Transactions on Information Systems , volume=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Cureus , volume=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Northern Reviews on Algorithmic Research, Theoretical Computation, and Complexity , volume=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Journal of Computational Intelligence, Machine Reasoning, and Decision-Making , volume=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation medRxiv , pages=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 8

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Nature Medicine , pages=

Reference 9

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Findings of the Association for Computational Linguistics: ACL 2024 , pages=

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This paper cites Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 12

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 2020 ACM SIGSAC conference on computer and communications security , pages=

Reference 15

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 16

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 17

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Adversarial Semantic Collisions

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 19

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation International conference on theory and applications of models of computation , pages=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Theory of Cryptography: Third Theory of Cryptography Conference, TCC 2006, New York, NY, USA, March 4-7

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Advances in neural information processing systems , volume=

Reference 22

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation REPLUG: Retrieval-Augmented Black-Box Language Models

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Transactions of the Association for Computational Linguistics , volume=

Reference 24

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation IEEE Transactions on Information Theory , volume=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation EDGAR - CORPUS : Billions of Tokens Make The World Go Round

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Reference 42

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the fourth ACM international conference on AI in finance , pages=

Reference 49

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 50

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Observation b3b8831a-a125-4ea8-a928-fa1000dbde0b · outbound

This paper cites IEEE Transactions on systems, man, and cybernetics-Part A: Systems and humans , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation IEEE Transactions on systems, man, and cybernetics-Part A: Systems and humans , volume=

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.215834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b8fefe7-651f-46fd-91da-d32c7a8e93e9 · outbound

This paper cites ACM Computing Surveys , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation ACM Computing Surveys , volume=

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.140911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e0949b1-22eb-420b-bea0-6f22d4a9c7c2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Advances in Neural Information Processing Systems , volume=

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.102585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac0417ba-65a7-4aee-a4f7-ab74df9df2e8 · outbound

This paper cites 2022 IEEE symposium on security and privacy (SP) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2022 IEEE symposium on security and privacy (SP) , pages=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.225112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 411df692-772f-4e3d-9baa-3abfda1ee883 · outbound

This paper cites 30th USENIX security symposium (USENIX Security 21) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 30th USENIX security symposium (USENIX Security 21) , pages=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.072490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcaca253-82d5-4d5f-9b3f-db2febff775f · outbound

This paper cites Machine learning , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Machine learning , volume=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.254222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff6f028f-0599-44ef-931e-22129e45c83c · outbound

This paper cites Acm Sigir Forum , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Acm Sigir Forum , volume=

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.110427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c50b0b4-b74d-4bb2-a9a1-db2f5c7acd82 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:58.914093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55660430-5f69-4fcc-90f5-c43cee7346d2 · outbound

This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Adversarial Active Learning for Deep Networks: a Margin Based Approach

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:58.928438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1eb78206-b98b-41c5-bbc0-173044bb64af · outbound

This paper cites 2023 , url =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2023 , url =

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.230613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0aad0a4-9682-4382-9809-a0b2109a2c27 · outbound

This paper cites Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.932824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7d0d07f-7a58-4ab4-afdc-2164bc4985ba · outbound

This paper cites QuOTE: Question-Oriented Text Embeddings.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation QuOTE: Question-Oriented Text Embeddings

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.910129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55f2046a-acf1-4dc1-aef1-e23772a9b169 · outbound

This paper cites 2023 , howpublished =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2023 , howpublished =

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.158986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a43b6d6-e53f-4113-912d-a54fab7dacdb · outbound

This paper cites Ras: Retrieval-and-structuring for knowledge-intensive llm generation.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Ras: Retrieval-and-structuring for knowledge-intensive llm generation

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:58.901668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d07ecb3-5f6a-40a6-8309-6b7d942ec0bd · outbound

This paper cites an unresolved cited work.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unresolved cited work

Reference 65

Resolution: parse uncertain; raw_fallback, observed 2026-05-21T10:04:59.210141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f8b3f10-ab16-4709-a84b-00137de15cfc · outbound

This paper cites an unresolved cited work.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:59.169032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddd42ace-b2fe-497f-b730-4697161cf610 · outbound

This paper cites Adversarial Semantic Collisions.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Adversarial Semantic Collisions

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.094525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dd05a71-886a-4876-8a86-d0cca3457abc · outbound

This paper cites 2023 , howpublished =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2023 , howpublished =

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.201988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0b72ded-df9a-4491-addb-e0f70073cdc4 · outbound

This paper cites Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.241192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d0d188b-70b0-4435-9f9b-228f033a47ed · outbound

This paper cites Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.118367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2dc208e3-f701-4faf-bc8c-8e28d527e754 · outbound

This paper cites Feder Cooper and Daphne Ippolito and Christopher A.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Feder Cooper and Daphne Ippolito and Christopher A

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.182027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77c1d585-d5a2-46ca-9b23-60b95da88d20 · outbound

This paper cites Gunter and Nikita Borisov , title =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Gunter and Nikita Borisov , title =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.086701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation febed3d9-6430-40f7-843c-557126ab87c3 · outbound

This paper cites Property Inference from Poisoning , year=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Property Inference from Poisoning , year=

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.194763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02f8a46d-bd58-4d81-99ba-2c869bb3b592 · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.854227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3eb66de0-ca8c-4ff0-bac8-7d4a72df3e22 · outbound

This paper cites kdd , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation kdd , volume=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.246466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c53d9481-9f68-40b7-820e-edab44d2c11b · outbound

This paper cites Active Learning Literature Survey , type =.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Active Learning Literature Survey , type =

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.065975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9bc717a-7945-4fc9-8c4d-ad759cff3247 · outbound

This paper cites an unresolved cited work.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:59.083505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82d62e4d-2ece-485f-8f97-4baec1d3bb79 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.174045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18864a09-a765-460d-ad94-6cf828497baf · outbound

This paper cites International Journal of Advanced Computer Science and Applications , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation International Journal of Advanced Computer Science and Applications , volume=

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.207216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de6aec98-1544-48b7-98d3-2ccf2ae24348 · outbound

This paper cites Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.887177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3f81330-a3d0-46c1-95aa-79eae0d3fe0b · outbound

This paper cites IEEE transactions on cybernetics , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation IEEE transactions on cybernetics , volume=

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.176580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6322b386-2d7e-4df3-89ca-43c2dbebc162 · outbound

This paper cites Advances in neural information processing systems , volume=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Advances in neural information processing systems , volume=

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.256894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69a0d457-b8d0-4686-b04a-22b5c7d114e6 · outbound

This paper cites 29th USENIX Security Symposium (USENIX Security 20) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 29th USENIX Security Symposium (USENIX Security 20) , pages=

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.243735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a797013-9bb0-4600-9e2a-6a52440edd7e · outbound

This paper cites 2018 IEEE International Symposium on Technologies for Homeland Security, Woburn, USA , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2018 IEEE International Symposium on Technologies for Homeland Security, Woburn, USA , pages=

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.221486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1fdf2654-7883-40a1-b540-ee9029036b8a · outbound

This paper cites 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) , pages=

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.156556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de135eca-9863-49bc-8e0c-b0a17237bbee · outbound

This paper cites 2018 International joint conference on neural networks (IJCNN) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 2018 International joint conference on neural networks (IJCNN) , pages=

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.105080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf9cd1e7-1e6b-4163-a1cd-72b08d469507 · outbound

This paper cites Stealing Neural Networks via Timing Side Channels.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Stealing Neural Networks via Timing Side Channels

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:58.859262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9e1c562-c2f0-4577-b2d2-e07d69373c24 · outbound

This paper cites 29th USENIX security symposium (USENIX Security 20) , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation 29th USENIX security symposium (USENIX Security 20) , pages=

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.184937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04236ef8-fb84-4b51-bf1f-1684cb3ef24d · outbound

This paper cites Proceedings of the 2017 ACM on Asia conference on computer and communications security , pages=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Proceedings of the 2017 ACM on Asia conference on computer and communications security , pages=

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.115484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18df1233-5f7c-45b2-91ef-7e4b97667b84 · outbound

This paper cites arXiv preprint arXiv:2505.15420 , year=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation arXiv preprint arXiv:2505.15420 , year=

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.897059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9091d8cc-9a47-4042-a936-9f7a2fbb277e · outbound

This paper cites Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.866586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dce1516-9162-499c-b3b3-31563760226a · outbound

This paper cites Available at SSRN 5191687 , year=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Available at SSRN 5191687 , year=

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:59.143278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 380683bc-5f80-45fb-be2e-f63da3bacce1 · outbound

This paper cites arXiv preprint arXiv:2507.23229 , year=.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation arXiv preprint arXiv:2507.23229 , year=

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.923456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f10a862-3371-4450-bf06-4a71557ecd66 · outbound

This paper cites Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.877499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f82069eb-b26d-4765-8629-ed7f50910404 · outbound

This paper cites From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.937649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 461db6df-a7e8-4182-8321-9676ba68fafe · outbound

This paper cites Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.844945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0b7ab29-4503-4129-9c01-7832ce432b13 · outbound

This paper cites A Survey of Personalization: From RAG to Agent.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation A Survey of Personalization: From RAG to Agent

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.849745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 883b7a2c-8317-4bb5-a86c-677dfa59f435 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:58.872632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82f22585-d3f3-47e9-94aa-1c3350cfa648 · outbound

This paper cites A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 99

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Observation 21fa716a-f09e-401b-b51e-dc75be5a646b · outbound

This paper cites Unveiling Privacy Risks in LLM Agent Memory.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unveiling Privacy Risks in LLM Agent Memory

Reference 100

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