ᆭࡾൌဒ൩ Zhejiang Lab
ࠎԤં࣮ჽ ದ۽ᇆିაνಆؒ
ളӮൔնଆνಆაႅϢ
ቔᆀ:
ྷཫېđ߰ᵣđਾᇰ೦đམđ໓࿄đਃ࿄đᅦၪđਾᅽ
ϱಃ݂ᆭࡾൌဒ൩෮Ⴕ
ߋ႒ࢌੀ
2023୍6ᄅ6ರThe development of the Generative AI, e.g., Large Language Models (LLM),
have been popular in both academic and industrial communities on a worldwide
scale, especially the ChatGPT series. The success of ChatGPT and GPT4 has
shown the future direction of developing AGI. However, large generative models
also suffer from the issue of data/model security and privacy. We should note that
large generative models would bring a lot of security and privacy problems, when
they demonstrate great power in changing our life, such as data leaking and the
propagation of fake news. In this white paper, we first conclude the development
of large generative models, including its effects and social influences. Then, we
summarize the current security and privacy problems in existing large generative
models, e.g., the data and model security, copyright problems, and ethical issues.
Finally, wegivethecorrespondingsuggestionsaboutthecurrentsecurityandprivacy
problems. Theycanbeemployedtopointoutfutureresearchanddevelopdirections,
and can also be utilized as references for government decision-making.ଢ
1 1
2ളӮൔնଆؿ֥ᅚᆭਫ਼ 1
2.1. ChatGPT ބGPT4֥భദ. . . . . . . . . . . . . . . . . . . . . . . . 1
2.1.1 GPT1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2.1.2 GPT2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.1.3 GPT3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.4 GPT3.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.1.5 InstructGPT . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.1.6 Google Bert . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.2. ChatGPT ބGPT4. . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.2.1 ChatGPT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.2.2 GPT4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.3. ChatGPT ބGPT4ᆭؿު֥҃ଆ . . . . . . . . . . . . . . . . . . . 17
2.3.1 Facebook ğLLaMa . . . . . . . . . . . . . . . . . . . . . . . . 17
2.3.2 Stanford ğAlpaca. . . . . . . . . . . . . . . . . . . . . . . . . 18
2.3.3Ϥ؇ğ໓ྏ၂ . . . . . . . . . . . . . . . . . . . . . . . . . 18
2.3.4έğ๙ၬత໙ . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.3.5ౢğChatGLM . . . . . . . . . . . . . . . . . . . . . . . . . 19
3ളӮൔնଆႄ֥ؿэ۪ 20
3.1.ႋႨ1ğᇹ৯ದࢌࠏ.......................... 20
3.2.ႋႨ2ğᇹ৯ྐ༏ሧჷܵ . . . . . . . . . . . . . . . . . . . . . . . . 20
3.3.ႋႨ3ğᇹ৯॓࿐࣮.......................... 22
3.4.ႋႨ4ğᇹ৯ଽಸԷቔ . . . . . . . . . . . . . . . . . . . . . . . . . . 23
生成式大模型安全与隐私白皮书-之江实验室
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