User contributions for 인공지능입니다

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18 February 2024

17 February 2024

  • 04:4504:45, 17 February 2024 diff hist +481‎ N 생성형 인공지능 ‎ 새 문서: == 대화형 == === 챗봇 === * 오픈AI ChatGPT * Microsoft Copilot * LLaMA * 구글 Gemini * 네이버 CLOVA X * Cue: * Inflection AI === 언어 모델 === * GPT-1 * GPT-2 * GPT-3 * GPT-4 * GPT-5 * 삼성 가우스 * Gemini == 텍스트 == * NovelAI * AI Dungeon == 그림 == * Midjourney * DALL-E * Artbreeder * NovelAI Image Generation * Stable Diffusion * Gaugan2 == 영상 == * Stable Video * AI 스튜디오 페르소 * Sora == 음성 == * A.I.VOICE * DeepVocal current Tag: Visual edit

6 February 2024

  • 08:0908:09, 6 February 2024 diff hist +6‎ T-closeness ‎No edit summary current Tag: Visual edit
  • 08:0808:08, 6 February 2024 diff hist +540‎ N T-closeness ‎ 새 문서: T-closeness aims to make the distribution of sensitive information within a group similar to the distribution of sensitive information for an individual record. It minimizes the difference between the sensitive information of an individual and the overall distribution within the group. '''Example''' If the sensitive information distribution within a group closely resembles the distribution of an individual's sensitive information, the data can be considered to satisfy T-closen... Tag: Visual edit
  • 08:0808:08, 6 February 2024 diff hist +491‎ N L-diversity ‎ 새 문서: L-diversity is a concept designed to overcome the limitations of K-anonymity. '''It ensures diversity of sensitive information''' within groups of identical attribute values, requiring each group to have at least L distinct values of sensitive information. '''Example''' Applying L-diversity within groups with the same attributes like gender or age means each group should have at least L different values of sensitive information. == See Also == * K-anonymity * T-clo... current Tag: Visual edit
  • 08:0708:07, 6 February 2024 diff hist +488‎ N K-anonymity ‎ 새 문서: K-anonymity is the concept that each individual record in a dataset is indistinguishable from at least K other records based on certain attributes. This makes it challenging to identify each record individually, enhancing privacy protection. '''Example''' Considering attributes like gender, age, and location, if each record shares at least the same values with three other records, the data can be considered to have a 3-anonymity. == See Also == * L-diversity * T-closen... current Tag: Visual edit
  • 08:0008:00, 6 February 2024 diff hist +615‎ N Pseudonymization ‎ 새 문서: Pseudonymization is a technical approach to protecting personal information, involving the substitution of actual identifying information with substitute values or virtual identifiers. ==Characteristics== Actual identifying information is retained but replaced with virtual identifiers, enhancing security. For example, real names may be replaced with encrypted codes. ==Purpose== Primarily used when there is a need to enhance security while retaining some level of identifiable in... current Tag: Visual edit
  • 07:5907:59, 6 February 2024 diff hist +558‎ N Anonymization ‎ 새 문서: Anonymization involves the process of rendering personal information entirely absent, creating a state where individuals cannot be identified. == Characteristics == It often entails complete removal of all personally identifiable information or aggregating data in a way that makes specific individuals indistinguishable. == Purpose == Mainly employed to protect sensitive personal information and share data with third parties, aiming to virtually eliminate the identifiability o... current Tag: Visual edit
  • 07:5807:58, 6 February 2024 diff hist +572‎ N De-identification ‎ 새 문서: De-identification refers to the process of removing or transforming personally identifiable information in data to reduce its identifiability. == Characteristics == It typically involves keeping some non-identifying information intact while altering or removing potentially identifying elements, such as names or social security numbers. == Purpose == Primarily used for purposes like research or statistical analysis, aiming to minimize identification risks while maintaining the... current Tag: Visual edit
  • 07:4407:44, 6 February 2024 diff hist +715‎ 인공지능 대상 공격 ‎No edit summary current Tag: Visual edit

3 February 2024

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