What we experience
A금융사 방화벽 정책 최적화 수립 컨설팅 사례
고객사: A금융사 (금융업)프로젝트 기간: 2013년 약 2개월간 수행프로젝트 배경 및 주제A금융사는 년간 2회 이상의 기술적 …
WiKi Security's AI Insight
자연어처리(NLP) 모델 총정리 요약표(HF-based) – Video Type Models
NameFull NameArchitectureBase ModelDevelopedTraining DatasetLib. & FrameworkUse CasesHF URLGithhub URLTimeSformerTimeSformer (Time-Space Transformer)TransformerVision Transformer (ViT)2021Evaluated on datasets like Kinetics-400 and Kinetics-600PyTorchVideo classification …
자연어처리(NLP) 모델 총정리 요약표(HF-based) – Audio Type Models
NameFull NameArchitectureBase ModelDevelopedTraining DatasetLib. & FrameworkUse CasesHF URLGithhub URLAudio Spectrogram TransformerAudio Spectrogram TransformerTransformerViT2021AudioSetPyTorch, Hugging Face TransformersAudio classification, sound event detectionhttps://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformerhttps://github.com/YuanGongND/astBarkBarkGPT-like, …
자연어처리(NLP) 모델 총정리 요약표(HF-based) – Vision Type Models
NameFull NameArchitectureBase ModelDevelopedTraining DatasetLib. & FrameworkUse CasesHF URLGithhub URLBEiTBidirectional Encoder representation from Image TransformersVision TransformerViT2021ImageNet-21k, ImageNet-1kPyTorch, Hugging Face TransformersImage classification, …
자연어처리(NLP) 모델 총정리 요약표(HF-based) – Text Type Models
NameFull NameArchitectureBase ModelDevelopedTraining DatasetLib. & FrameworkUse CasesHF URLGithhub URLALBERTA Lite BERTTransformer-based sequence-to-sequenceBERT2019BookCorpus, English WikipediaTensorFlow, PyTorchNatural Language Understandinghttps://huggingface.co/albert-base-v2https://github.com/google-research/albertBambaBambaTransformerGPT-22023Bambara language corpusPyTorchBambara language …
OWASP Top10 for LLM Applicationd의 세부 테스트 케이스
GenAI(LLM) Red Team Service를 준비하면서, OWASP Top10 for LLM 기반의 세부 점검 케이스들을 정리하였습니다 …
Prompt Injection 테스트를 위한 Prompt유형과 속성 이해
GenAI(LLM) 취약점 중의 하나인 Prompt Injection Attack은 OWASP Top10 for LLM Application의 첫 번째로 등장할 만큼 다양한 공격기법이 존재하는 반면에, …
OUR CLIENTS
WHAT WE WORK FOR
ABOUT US
WHO WE ARE


































