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2024 | OriginalPaper | Chapter

5. GenAI Data Security

Authors : Ken Huang, Jerry Huang, Daniele Catteddu

Published in: Generative AI Security

Publisher: Springer Nature Switzerland

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Abstract

This chapter provides an in-depth exploration of data security within the realm of GenAI. Highlighting the pivotal role of data, often likened to the “oil” of the digital age, the chapter navigates data’s lifecycle from collection to disposal. The narrative underscores the importance of secure collection, preprocessing, storage, and transmission. The chapter delves into data provenance, stressing the need to understand, verify, and validate data’s journey. Training data management is highlighted, with a focus on how training data can impact model performance, data diversity, and responsible disposal. Throughout, the chapter accentuates the significance of trust, transparency, and responsibility, offering insights into best practices in GenAI data security.

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Arvanitis, L., Sadeghi, M., & Brewster, J. (2023, March 15). ChatGPT 4 produces more misinformation than predecessor Misinformation Monitor: March 2023. NewsGuard. Retrieved August 27, 2023, from https://www.newsguardtech.com/misinformation_monitor/march2023/

Berner, C. (2022). OpenAI Case Study. Kubernetes. Retrieved August 28, 2023, from https://kubernetes.io/casestudies/openai/

Brownlee, J. (2016, March 21). Overfitting and underfitting with machine learning algorithms MachineLearningMastery.com. Machine Learning Mastery. Retrieved August 28, 2023, from https://machinelearningmastery.com/overfitting_and_underfitting_with_machine_learning_algorithms/

Buchner, N., Kinkelin, H., & Rezabek, F. (2022, May). Survey on trusted execution environments. Chair of Network Architectures and Services. Retrieved August 27, 2023, from https://www.net.in.tum.de/fileadmin/TUM/NET/NET_2022_07_1/NET_2022_07_1_05.pdf

Camarillo, A. (2022, March 17). Artificial intelligence and privacy by design. TechGDPR. Retrieved August 27, 2023, from https://techgdpr.com/blog/artificial_intelligence_and_privacy_by_design/

Castillo, D. (2021). Machine learning concept drift what is it and five steps to deal with it. Seldon. Retrieved August 28, 2023, from https://www.seldon.io/machine_learning_concept_drift

De Groot, J., & Lord, N. (2022, December 28). What is the GDPR? Everything you need to know. Digital Guardian. Retrieved August 28, 2023, from https://www.digitalguardian.com/blog/what_gdpr_general_data_protection_regulation_understanding_and_complying_gdpr_data_protection

Dilmegani, C. (2023, January 5). In depth guide into secure multi party computation in 2023. AIMultiple. Retrieved August 28, 2023, from https://research.aimultiple.com/secure_multi_party_computation/

dotData. (2022, November 3). Feature engineering for temporal data part 2: Types of temporal data. dotData. Retrieved August 28, 2023, from https://dotdata.com/blog/feature_engineering_for_temporal_data_part_2_types_of_temporal_data/

Estremera, E. (2021, February 18). Covariate shift in Machine Learning | by Albert Um | Medium. Albert Um. Retrieved August 28, 2023, from https://albertum.medium.com/covariate_shift_in_machine_learning_adf8d0077f79

Froehlich, A. (2020). What is transport layer security (TLS)? TechTarget. Retrieved August 28, 2023, from https://www.techtarget.com/searchsecurity/definition/Transport_Layer_Security_TLS

Fruhlinger, J., & Grimes, R. (2019, September 20). What is OAuth? How the open authorization framework works. CSO Online. Retrieved August 27, 2023, from https://www.csoonline.com/article/562635/what_is_oauth_how_the_open_authorization_framework_works.html

Gainetdinov, A. (2023, May 12). Diffusion Models vs. GANs vs. VAEs: Comparison of deep generative models. Towards AI. Retrieved November 4, 2023, from https://towardsai.net/p/machine_learning/diffusion_models_vs_gans_vs_vaes_comparison_of_deep_generative_models

Gao, Y. (2014, November 8). Secure approximate nearest neighbor search over encrypted data. Semantic Scholar. Retrieved August 28, 2023, from https://www.semanticscholar.org/paper/Secure_Approximate_Nearest_Neighbor_Search_over_Gao_Miao/a8e82374615f875e2ab3cafb4c0142cd55344828

Garbers, A. (2022, June 19). Zero Trust, SASE and SSE: Foundational concepts for your next generation network. The Cloudflare Blog. Retrieved August 28, 2023, from https://blog.cloudflare.com/zero_trust_sase_and_sse_foundational_concepts_for_your_next_generation_network/

Gault, M., & LaCour, K. (2018). How to ensure authenticity in Big Data. WIRED. Retrieved August 27, 2023, from https://www.wired.com/insights/2013/02/how_to_ensure_authenticity_in_big_data/

LaCour, K. (2023). Data is the new oil of the digital economy. WIRED. Retrieved August 27, 2023, from https://www.wired.com/insights/2014/07/data_new_oil_digital_economy/

Lamb, D. (2023, January 23). The impact of dirty data on AI’s ability to take over business operations. DigiTeams. Retrieved August 27, 2023, from https://digiteams-sa.com/the_impact_of_dirty_data_on_ais_ability_to_take_over_business_operations/

Marr, B. (2019, November 15). What is homomorphic encryption? And why is it so transformative? Forbes. Retrieved August 28, 2023, from https://www.forbes.com/sites/bernardmarr/2019/11/15/what_is_homomorphic_encryption_and_why_is_it_so_transformative/

Mok, A. (2023, March 28). This is what AI art generators think a CEO looks like. Business Insider. Retrieved August 28, 2023, from https://www.businessinsider.com/ai_art_generators_dalle_stable_diffusion_racial_gender_bias_ceo_2023_3

Naik, K., Jarapala, V., & Sikhakolli, B. (2019, April 8). Stationarity in time series analysis | by Shay Palachy Affek. Towards Data Science. Retrieved August 28, 2023, from https://towardsdatascience.com/stationarity_in_time_series_analysis_90c94f27322

Nguyen, M. (2020). Chapter 11 Imputation (missing data) | A guide on data analysis. Bookdown. Retrieved August 27, 2023, from https://bookdown.org/mike/data_analysis/imputation_missing_data.html

OpenAI. (2021, January 25). Scaling Kubernetes to 7,500 nodes. OpenAI. Retrieved August 28, 2023, from https://openai.com/research/scaling_kubernetes_to_7500_nodes

OpenAI. (2023, August 22). GPT 3.5 Turbo fine tuning and API updates. OpenAI. Retrieved August 28, 2023, from https://openai.com/blog/gpt_3_5_turbo_fine_tuning_and_api_updates

OpenID. (2016). How OpenID connect works. OpenID. Retrieved August 28, 2023, from https://openid.net/developers/how_connect_works/

Patel, H. (2021, August 30). What is feature engineering — Importance, tools and techniques for machine learning. Towards Data Science. Retrieved August 28, 2023, from https://towardsdatascience.com/what_is_feature_engineering_importance_tools_and_techniques_for_machine_learning_2080b0269f10

Princeton. (2022). Data leakage causes reproducibility failures in ML based science. Leakage and the Reproducibility Crisis in ML based Science. Retrieved August 28, 2023, from https://reproducible.cs.princeton.edu/

Racickas, L. (2023, June 28). Data transformation 101: Process and new technologies DataScienceCentral.com. Data Science Central. Retrieved August 28, 2023, from https://www.datasciencecentral.com/data_transformation_101_process_and_new_technologies/

Rao, S. (2008). Informed consent: An ethical obligation or legal compulsion? NCBI. Retrieved August 27, 2023, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2840885/

Sciforce. (2022, September 29). Generative models under a microscope: Comparing VAEs, GANs, and Flow Based Models. Medium. Retrieved November 4, 2023, from https://medium.com/sciforce/generative_models_under_a_microscope_comparing_vaes_gans_and_flow_based_models_344f20085d83

Sharma, S. (2019, August 1). Degenerate feedback loops in recommender systems | by Shruti Sharma. Medium. Retrieved August 28, 2023, from https://medium.com/@curioushruti/degenerate_feedback_loops_in_recommender_systems_3f47e9f3b9bc

Simplilearn. (2023, January 18). Normalization vs standardization what’s the difference? Simplilearn.com. Retrieved August 27, 2023, from https://www.simplilearn.com/normalization_vs_standardization_article

Stewart, M. (2019, December 11). Understanding dataset shift. How to make sure your models are not… | by Matthew Stewart, PhD. Towards Data Science. Retrieved August 28, 2023, from https://towardsdatascience.com/understanding_dataset_shift_f2a5a262a766

Vats, R. (2023, August 15). The role of GenerativeAI in data augmentation and synthetic data generation. upGrad. Retrieved August 28, 2023, from https://www.upgrad.com/blog/the_role_of_generativeai_in_data_augmentation/

Title: GenAI Data Security
Authors: Ken Huang
Jerry Huang
Daniele Catteddu
Publisher: Springer Nature Switzerland
Book: Generative AI Security
Print ISBN: 978-3-031-54251-0

Electronic ISBN: 978-3-031-54252-7

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-54252-7_5

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