2026

an archive of posts from this year

Jul 07, 2026 Kubernetes 확장과 생태계 — Operator와 CNCF Projects
Jul 06, 2026 Kubernetes 권한 관리 — ServiceAccount와 RBAC
Jul 06, 2026 Kubernetes 스토리지와 설정 — PV/PVC, ConfigMap, Secret
Jul 06, 2026 Kubernetes 네트워킹 — Service와 Ingress
Jul 06, 2026 Kubernetes 워크로드 — ReplicaSet, Deployment, StatefulSet, DaemonSet
Jul 06, 2026 Pod의 모든 것 — 생성부터 스케줄링까지
Jul 06, 2026 Kubernetes 아키텍처 — Control Plane과 Node
Jul 06, 2026 내 노트북에 Kubernetes 클러스터 만들기 — kind와 kubectl
Jul 06, 2026 Kubernetes의 탄생 — Google Borg에서 CNCF까지
May 30, 2026 Tamper-Resistant Safeguards (TAR) — Fine-tuning 자체에 견디는 safety
May 29, 2026 Circuit Breakers — 유해 representation을 incoherent state로 리라우팅
May 29, 2026 Emergent Misalignment — 안전한 코드 학습이 모델을 전반적으로 나쁘게 만든다
May 29, 2026 Shallow Safety Alignment — RLHF는 첫 5개 토큰만 reshape한다
May 29, 2026 Exploiting Novel GPT-4 APIs — 세 가지 공격 표면을 한 번에 점검하기
May 29, 2026 Covert Malicious Finetuning — 학습 데이터가 모두 무해해 보이는 공격
May 29, 2026 Universal Jailbreak Backdoors from Poisoned RLHF — 트리거 단어 하나가 'sudo'가 된다
May 29, 2026 LoRA Undoes Safety — QLoRA로 Llama-2-70B-Chat의 거부율을 1%로
May 29, 2026 Removing RLHF Protections in GPT-4 via Fine-Tuning — 340예시로 frontier API 깨기
May 29, 2026 Shadow Alignment — 100개 QA + 1 GPU-시간으로 open-weight 5종 깨기
May 29, 2026 Fine-tuning Compromises Safety — 10개 예시면 alignment가 무너진다
May 29, 2026 Refusal Direction & Abliteration — 거부는 하나의 방향이다
May 29, 2026 PKU-SafeRLHF-30K: A Dual-Preference Dataset for Safe-RLHF
May 26, 2026 사이버 보안에서의 LLM: 공격·방어·평가의 지형
May 26, 2026 Claude Mythos와 사이버 보안 LLM: 자율 취약점 발견의 변곡점
May 26, 2026 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
May 26, 2026 CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities
May 26, 2026 AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
May 26, 2026 CAIBench: A Meta-Benchmark for Evaluating Cybersecurity AI Agents
May 26, 2026 CyberSecEval (1–3): Meta Purple Llama의 사이버 보안 위험·역량 평가
May 26, 2026 CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
May 26, 2026 SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
May 26, 2026 ALMA: 9,000개 주석만으로 LLM을 정렬하기
May 26, 2026 PIKA: 난이도에 집중한 expert-level 합성 정렬 데이터셋
May 26, 2026 WildJailbreak: in-the-wild 탈옥을 대규모로 합성한 안전 학습 데이터셋
May 26, 2026 BeaverTails: helpfulness와 harmlessness를 분리한 안전 정렬 데이터셋
May 26, 2026 HarmfulQA & RED-INSTRUCT: Chain of Utterances로 유해 질문을 만들고 안전 정렬까지
May 26, 2026 HH-RLHF Red-Team Attempts: Anthropic의 38,961건 레드팀 대화 데이터셋
May 26, 2026 AdvBench: LLM 공격 평가의 사실상 표준이 된 유해 행동 데이터셋
May 25, 2026 에이전트란 무엇인가: 지능형 에이전트의 고전 정의부터 LLM 에이전트까지
May 25, 2026 AgentBench: Evaluating LLMs as Agents
May 25, 2026 GAIA: a benchmark for General AI Assistants
May 25, 2026 SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
May 25, 2026 TravelPlanner: A Benchmark for Real-World Planning with Language Agents
May 25, 2026 MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
May 25, 2026 OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
May 18, 2026 Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
May 18, 2026 Constitutional AI: Harmlessness from AI Feedback
May 18, 2026 JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
May 18, 2026 HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
May 16, 2026 AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
May 16, 2026 InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
May 16, 2026 AgenticRed: Evolving Agentic Systems for Red-Teaming
May 16, 2026 Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
May 16, 2026 Curiosity-driven Red-teaming for Large Language Models
May 16, 2026 Many-shot Jailbreaking
May 16, 2026 Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack
May 16, 2026 GPTFuzzer: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
May 16, 2026 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
May 16, 2026 AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
May 16, 2026 Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
May 16, 2026 Red Teaming Language Models with Language Models
May 11, 2026 TRL sequence packing → DeepSeek MLA: 누락된 cu_seqlens 복원
May 10, 2026 MLA 학습 시 modeling-side projection fusion: q_a/kv_a 배치 + K-side absorption
May 10, 2026 DeepSeek 계열 MoE 학습 가속: Python expert loop → grouped GEMM
Apr 29, 2026 CodeAttack: Code-based Adversarial Attacks for Pre-trained Programming Language Models
Apr 29, 2026 Jailbreaking Black Box Large Language Models in Twenty Queries
Apr 29, 2026 Universal and Transferable Adversarial Attacks on Aligned Language Models
Apr 12, 2026 A.X K1 Technical Report
Apr 12, 2026 TelAgentBench: A Multi-faceted Benchmark for Evaluating LLM-based Agents in Telecommunications
Apr 11, 2026 TelBench: A Benchmark for Evaluating Telco-Specific Large Language Models
Apr 11, 2026 LLM 엔지니어가 알아야 할 GPU 아키텍처: Ampere → Hopper → Blackwell
Apr 11, 2026 FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
Apr 09, 2026 FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Apr 01, 2026 Triton 07: Flash Attention 3 — Triton으로 어디까지 가능한가
Apr 01, 2026 Triton 06: Flash Attention 2 — FA1 대비 5가지 최적화
Apr 01, 2026 Triton 05: Flash Attention — 종합 프로젝트
Apr 01, 2026 Triton 04: Matrix Multiplication — 2D 타일링과 Autotune
Apr 01, 2026 Triton 03: RMSNorm — LLM에서 쓰이는 실전 커널
Apr 01, 2026 Triton 02: Fused Softmax — 커널 퓨전과 Reduction
Apr 01, 2026 Triton 01: Vector Addition — Triton 커널 기초
Apr 01, 2026 Triton 00: GPU 기초 — Triton을 시작하기 전에 알아야 할 것들