Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings | Paper Citation Record

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This paper cites https://pypi.org/project/html-sanitizer/, 2025.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings https://pypi.org/project/html-sanitizer/, 2025

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This paper cites Analysis of generative ai policies in computing course syllabi.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Analysis of generative ai policies in computing course syllabi

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Re-envisioning paradigms of education: towards awareness, alignment, and pluralism

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Balash, Dongkun Kim, Darika Shaibekova, Rahel A

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai can harm learning

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Unresolved cited work

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Unresolved cited work

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Machine unlearning

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Felten, and Shaanan Cohney

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This paper cites A personalized learning system-supported professional training model for teachers’ tpack development.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A personalized learning system-supported professional training model for teachers’ tpack development

Reference 10

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A comprehensive ai policy education framework for university teaching and learning

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Students’ voices on generative ai: Per- ceptions, benefits, and challenges in higher education

Reference 13

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Uncovering privacy and security challenges in k-12 schools

Reference 14

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A survey on evaluation of large language models

Reference 15

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This paper cites Beyond numbers: Creating analogies to enhance data comprehension and communication with generative ai.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Beyond numbers: Creating analogies to enhance data comprehension and communication with generative ai

Reference 16

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Ai governance in research libraries: A case study of the university of toronto libraries

Reference 18

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Thematic analysis

Reference 19

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Virtual classrooms and real harms: Remote learning at u.s

Reference 20

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This paper cites Cu committee re- port: Generative artificial intelligence for education and pedagogy.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Cu committee re- port: Generative artificial intelligence for education and pedagogy

Reference 21

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This paper cites Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1– 39, 2025.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1– 39, 2025

Reference 22

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This paper cites Gemini — deepmind.google.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Gemini — deepmind.google

Reference 23

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Real or fake text?: Investigating human ability to detect boundaries between human-written and machine-generated text

Reference 24

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Communities demand transparency after ed, lausd’s ai chatbot, fails

Reference 25

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings money makes the world go around

Reference 26

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This paper cites Impact of digital literacy and online privacy concerns on cybersecurity behaviour: The moderating role of cybersecurity awareness.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Impact of digital literacy and online privacy concerns on cybersecurity behaviour: The moderating role of cybersecurity awareness

Reference 27

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The impact of hallucinated information in large language models on student learning outcomes: A critical examination of misinforma- tion risks in ai-assisted education

Reference 28

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Children’s online privacy protection rule, 2013

Reference 29

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai in higher educa- tion: Balancing innovation and integrity

Reference 30

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings General Data Protection Regulation (GDPR) – Legal Text — gdpr- info.eu

Reference 31

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The promise and challenges of generative ai in education

Reference 32

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This paper cites GitHub Copilot · Your AI pair programmer — github.com.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings GitHub Copilot · Your AI pair programmer — github.com

Reference 33

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 34

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Our universities | Russell Group — russellgroup.ac.uk

Reference 35

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Engineering privacy by design

Reference 36

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings We must fix the lack of transparency around the data used to train foundation models

Reference 37

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Summary of the hipaa privacy rule

Reference 38

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning

Reference 39

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 40

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Knowledge networks and universities: Locational and organisational aspects of knowledge transfer interactions

Reference 41

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This paper cites Do llms store personal data? this is asking the wrong ques- tion.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Do llms store personal data? this is asking the wrong ques- tion

Reference 42

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The global landscape of academic guidelines for generative ai and llms

Reference 43

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai in higher education: A global perspective of institutional adoption policies and guidelines

Reference 44

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Towards responsible development of generative ai for education: An evaluation-driven approach

Reference 45

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Empowering education through generative ai: Innova- tive instructional strategies for tomorrow’s learners

Reference 46

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Trust, because you can’t verify: Privacy and security hurdles in education technology acquisition practices

Reference 47

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This paper cites Robust Distortion-free Watermarks for Language Models.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Robust Distortion-free Watermarks for Language Models

Reference 48

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Kumar, Marshini Chetty, Tamara L

Reference 49

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This paper cites Privacy concerns of student data shared with instructors in an online learning management system.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Privacy concerns of student data shared with instructors in an online learning management system

Reference 50

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This paper cites Deepfakes, phrenology, surveillance, and more! a taxonomy of ai privacy risks.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Deepfakes, phrenology, surveillance, and more! a taxonomy of ai privacy risks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.309689Z

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This paper cites Exploring and evaluating hallucinations in llm- powered code generation.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Exploring and evaluating hallucinations in llm- powered code generation

Reference 52

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Prompt Injection attack against LLM-integrated Applications

Reference 53

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Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Understanding llms: A comprehensive overview from training to inference

Reference 54

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This paper cites originality.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings originality

Reference 55

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Observation e616b422-7a35-45eb-993e-7d43d755988c · outbound

This paper cites they think it’s totally fine to talk to some- body on the internet they don’t know.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings they think it’s totally fine to talk to some- body on the internet they don’t know

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.257370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f33cb00-a526-4907-aa4a-f8acbbfc73da · outbound

This paper cites Gener- ative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Gener- ative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.240879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3feca222-5a79-4c3d-8513-37ef772e399c · outbound

This paper cites Interrater reliability: the kappa statistic.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Interrater reliability: the kappa statistic

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.726645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4423da05-7080-4703-8b3c-dd5590e61eed · outbound

This paper cites Iso/iec 27018 - microsoft compliance.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Iso/iec 27018 - microsoft compliance

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.212659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af1c4353-8943-4c75-9d85-74c91c525df3 · outbound

This paper cites Microsoft products and services data protection addendum (dpa).

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Microsoft products and services data protection addendum (dpa)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.195532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d685c904-dfa5-4f59-8447-63753b5c38c7 · outbound

This paper cites Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.739955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4abbde5-28ef-48ea-b037-a77afaf7e69b · outbound

This paper cites The Privacy Act — oaic.gov.au.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The Privacy Act — oaic.gov.au

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.179401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4c03474-0875-411b-998f-294258484df4 · outbound

This paper cites Chatgpt overview.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Chatgpt overview

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.162780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77e56d48-b0da-4c21-a7ef-f8d299b369ce · outbound

This paper cites Data controls faq.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Data controls faq

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.146685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 428c78af-6117-48ea-a550-a5efee0ef035 · outbound

This paper cites Beyond compliance: Students and ferpa in the age of big data.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Beyond compliance: Students and ferpa in the age of big data

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.130394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c26c3a34-160d-40d4-863f-ebb284ce2fd0 · outbound

This paper cites PDPC | PDPA Overview — pdpc.gov.sg.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings PDPC | PDPA Overview — pdpc.gov.sg

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.113843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e2b9f0d-a36e-4fd8-99b7-09683a1cd03c · outbound

This paper cites The role of individual capabilities in maximizing the benefits for students using genai tools in higher education.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The role of individual capabilities in maximizing the benefits for students using genai tools in higher education

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.096299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b40bb6ae-0c3d-491d-af93-8c27bb135a36 · outbound

This paper cites The impact of generative ai on education.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The impact of generative ai on education

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.079111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9014d36e-5e71-499f-b0c3-d3c4dbd6ca9c · outbound

This paper cites A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.777747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279135fc-90e6-45d7-87c3-de7ea9da3eb5 · outbound

This paper cites Reidenberg and Florian Schaub.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Reidenberg and Florian Schaub

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.063277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab5bb86c-0ecf-4395-8e80-7c6bcabb3941 · outbound

This paper cites Saturation in qualita- tive research: exploring its conceptualization and operationalization.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Saturation in qualita- tive research: exploring its conceptualization and operationalization

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.047309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed2a313a-99b6-4b9b-998b-06d2d459c4b1 · outbound

This paper cites The power of analogies for imagining and governing emerging technologies.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The power of analogies for imagining and governing emerging technologies

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.030618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e4f94f3-1ad7-4b5f-b8c2-f7a7879bf0ba · outbound

This paper cites Guide on the use of generative artificial intelligence.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Guide on the use of generative artificial intelligence

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:02.013654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acfb1c3f-672f-4f0c-a6e7-90947f1a469a · outbound

This paper cites Micro-learning in designing professional development for ict teacher leaders: The role of self-regulation and perceived learning.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Micro-learning in designing professional development for ict teacher leaders: The role of self-regulation and perceived learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.996285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae002b82-7429-49da-9e27-1c779c9196a1 · outbound

This paper cites Large Language Model Alignment: A Survey.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Large Language Model Alignment: A Survey

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.804426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00760a26-cb4c-49d0-a33c-0b890606aca8 · outbound

This paper cites it’s been lovely watching you.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings it’s been lovely watching you

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.979272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04f48025-8cc7-4450-9733-b3f7a770b2ad · outbound

This paper cites Generative ai and intellectual property rights.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai and intellectual property rights

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.962177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99008466-92fc-47f2-a298-e5e4eab28150 · outbound

This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.818440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b86a455-629d-479a-bb21-b0ebfd42261d · outbound

This paper cites Online proctoring: Privacy invasion or study alleviation? discovering acceptability using contextual integrity.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Online proctoring: Privacy invasion or study alleviation? discovering acceptability using contextual integrity

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.945451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e70d5893-4e71-48d9-b685-b4b64d13906f · outbound

This paper cites Mapping tomorrow’s teaching and learning spaces: A systematic review on genai in higher education.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Mapping tomorrow’s teaching and learning spaces: A systematic review on genai in higher education

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.930101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ff607ea-0879-4096-a4fd-3134c93ded25 · outbound

This paper cites The role of generative ai in personalized learning for higher education.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings The role of generative ai in personalized learning for higher education

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.913254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f799c423-a886-46a1-97d2-952e03363edf · outbound

This paper cites About fippa | the office of the governing council, fipp, Jun 2019.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings About fippa | the office of the governing council, fipp, Jun 2019

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.897192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2b74647-1d42-4bba-bb8c-3b43013f1989 · outbound

This paper cites Department of Education.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Department of Education

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.880902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4be5a0b8-2739-455d-9ce8-098f569c6c13 · outbound

This paper cites Generative ai in higher educa- tion: Seeing chatgpt through universities’ policies, resources, and guidelines.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai in higher educa- tion: Seeing chatgpt through universities’ policies, resources, and guidelines

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.848731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ba722dd-bd42-4cc4-aecd-381ed8cc75fd · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems , 36:80079–80110, 2023.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems , 36:80079–80110, 2023

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.833311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6edea74-bf79-4058-997f-ac1766d6cb25 · outbound

This paper cites ’do i have to take this class?’: A review of ethics requirements in computer science curricula.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings ’do i have to take this class?’: A review of ethics requirements in computer science curricula

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.816701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a649c0b-b327-4091-84e9-89d7dd4506d1 · outbound

This paper cites State education agency governance, virtual learning, and student privacy: Lessons from the covid-19 pandemic.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings State education agency governance, virtual learning, and student privacy: Lessons from the covid-19 pandemic

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.797659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8c30119-3668-4309-83cd-14bca52490f8 · outbound

This paper cites LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:50:01.144757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03c3c06a-6d2e-484b-a41c-1c8f3f4b34a1 · outbound

This paper cites QS World University Rankings 2024 — top- universities.com.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings QS World University Rankings 2024 — top- universities.com

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.780693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a2d34b0-6f30-4238-85d9-f5e9b0569a9a · outbound

This paper cites Privately Aligning Language Models with Reinforcement Learning.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Privately Aligning Language Models with Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:00.879363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2b8bbc-d76e-4bfe-9f49-2352929d9909 · outbound

This paper cites A Survey of Calibration Process for Black-Box LLMs.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A Survey of Calibration Process for Black-Box LLMs

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:01.001810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37306787-9d2a-4a64-9c16-f60b6a6e65e9 · outbound

This paper cites Global data constraints: Ethical and effectiveness challenges in large language model.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Global data constraints: Ethical and effectiveness challenges in large language model

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.763038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 960febb4-a2e4-48f6-a888-74723813c5a8 · outbound

This paper cites Discovering privacy harms from education technology by analyzing user reviews.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Discovering privacy harms from education technology by analyzing user reviews

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.745524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f5651e4-ee21-4022-9553-8fdf3f37f8c2 · outbound

This paper cites Generative ai and the future of higher education: a threat to academic integrity or reformation? evidence from multicultural perspectives.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Generative ai and the future of higher education: a threat to academic integrity or reformation? evidence from multicultural perspectives

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.726191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be841824-25a1-42e4-9099-e7b4007e9f30 · outbound

This paper cites Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.707078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da06e6dc-467d-467b-b23d-f3030de28487 · outbound

This paper cites Knowledge workers’ perspectives on ai training for responsible ai use.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Knowledge workers’ perspectives on ai training for responsible ai use

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.690223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2158cd34-8d08-48b3-a443-6ce317a11338 · outbound

This paper cites Jailguard: A universal detection framework for prompt-based attacks on llm systems.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Jailguard: A universal detection framework for prompt-based attacks on llm systems

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.672904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fba6d01-a282-4a4b-bb87-5d9d9780bc90 · outbound

This paper cites Educational technology in the post-pandemic era: Current progress, potential, and challenges.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Educational technology in the post-pandemic era: Current progress, potential, and challenges

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.655952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a49ee683-6950-4470-ba60-6dce4e0a0845 · outbound

This paper cites ‘i make up a silly name’: Understanding children’s perception of privacy risks online.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings ‘i make up a silly name’: Understanding children’s perception of privacy risks online

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.638187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e43a290f-2a5e-4c1c-a55f-23036b8bf5fc · outbound

This paper cites i’m going to trust this until it burns me.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings i’m going to trust this until it burns me

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.609791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 813a9b3f-9b24-46f2-b9cc-fc387427dbe2 · outbound

This paper cites Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account — zoom.com.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account — zoom.com

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:50:01.590381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers