250 matches found
alibi-detect
Alibi Detect ã¯ãå€ãå€ ãæµå¯Ÿç ãããªãã æ€åºã«ç¹åãããœãŒã¹å©çšå¯èœãª Python ã©ã€ãã©ãªã§ãããã®ããã±ãŒãžã¯ã衚圢åŒããŒã¿ãããã¹ããç»åãæç³»ååãã®ãªã³ã©ã€ã³ããã³ãªãã©ã€ã³æ€åºåšã®äž¡æ¹ãã«ããŒããããšãç®çãšããŠããŸããããªããæ€åºã§ã¯ãTensorFlow ãš PyTorch ã®äž¡ããã¯ãšã³ãããµããŒããããŠããŸãã ããã¥ã¡ã³ã æ¬çªç°å¢ã§ã®å€ãå€ãšååžã®ã¢ãã¿ãªã³ã°ã®éèŠæ§ã«é¢ããèæ¯ã«ã€ããŠã¯ãè«æ Monitoring and explainability of models in production ã«åºã¥ããAlibi Detect...
LID
âââ ââââââââââ âââ âââââââââââ âââ ââââââ âââ âââ ââââââ âââ âââââââââââââââââââ ââââââââââââââââââ Linux Integrity Drift â ãLinuxã¯æ»ã«ãããŠããã â LSMã®ã»ãã¥ãªãã£ä¿èšŒãè¿åããã«ãŒãã«ã³ãŒããã¹ã®äœç³»çãªçºèŠ éã¯ç Žãããã®ã§ã¯ãªããè¿åãããã®ã ã LIDãšã¯äœãïŒ Linux Security Moduleãã¬ãŒã ã¯ãŒã¯ã«ã¯ã20å¹Žä»¥äž ã«ããã£ãŠç¶æãããŠããäžæ žçãªä¿èšŒã1ã€ãããŸãïŒ ã»ãã¥ãªãã£ã¢ãžã¥ãŒã«ã¯å¶éã远å ...
drift-node-sdk
Node.js Tusk Drift SDKã¯ããµãŒãã¹ãšã®éã§ããåããããAPIåŒã³åºãããã£ããã£ããŠãªãã¬ã€ããããšã§ãé«éãã€æ±ºå®è«çãªAPIãã¹ããå¯èœã«ããŸããå®éã®APIåŒã³åºããèªåçã«èšé²ããTusk CLIã䜿çšããŠãã¹ããšããŠãªãã¬ã€ãããªã°ã¬ãã·ã§ã³ãæ€åºããŸãããªãã¬ã€äžã¯ããã¹ãŠã®éä¿¡ãªã¯ãšã¹ããèšé²ãããããŒã¿ã§ã€ã³ã¿ãŒã»ãããããå¯äœçšãªãã«äžè²«ããåäœãä¿èšŒãããŸãã ãã¢ãªããžããªã§è©Šã â ããã¥ã¡ã³ã å æ¬çãªã¬ã€ããšAPIãªãã¡ã¬ã³ã¹ã«ã€ããŠã¯ãå®å šãªããã¥ã¡ã³ããã芧ãã ããã SDKã¬ã€ã åæåã¬ã€ã -...
drift-corpus
Drift Corpus: Ring 0 Drift Corpus ë Windows 컀ë íšì¹ diffì ê¶ì ìë ì€í ìì€ ì ì¥ìì ëë€. ìŽ ìí°í©ížë ByteRayì ìë 늬ë²ì€ ìì§ëìŽë§ ìì§ìŽì Argus-Systems íë«íŒì ìŒë¶ìž Drift Agent 륌 ì¬ì©íì¬ ìì±ë©ëë€. Drift륌 íµíŽ Microsoftê° íšì¹í Windows 컀ë ì·šìœì ì ì±ê³µì ìŒë¡ ë§€í, ë¶ì ë° ì£Œì ì²ëЬíìµëë€. íì¬ ì»¬ë ì ì 2026ë í목240ê° ìŽìì í¬íšíë©°, ìê°ìŽ ì§ëšì ë°ëŒ ì¶ê° íëª©ìŽ ì¶ê°ëê³ ììµëë€. ð 컀뮀ëí° Der...
ClientInspectorV2
ClientInspectorv2 ìê° ë¹ì ìŽ íµì íê³ ììµëê¹? - ìë멎 íšì¹, ìí°ë°ìŽë¬ì€, BitLocker íì±í ê°ì íµì¬ ìžíëŒ íë¡ìžì€ê° íë¥íê³ ììµëê¹? ëë ê³ êž ìžë²€í 늬 륌 ìííì¬ Lenovo ëë Dell ë³ŽìŠ ìí륌 ì¡°ííê³ ì¶ë€ë©Ž ê³ì ìœìŽë³Žìžì. ClientInspector 륌 íìžíŽ ë³Žìžì. ìŽ ë구ë ìì í íŽëŒìŽìžíž í겜 ì ëí íìí íµì°°ë ¥ ì ì»ë ë° ëìì ì€ëë€. ClientInspectorë 컀뮀ëí°ì ë¬Žë£ ë¡ ì ê³µë©ëë€. Azure ë¡ê·ž ìì§ íìŽíëŒìž , Azure ë°ìŽí° ìì§...
Rubrics-as-an-Attack-Surface
æ»æå¯Ÿè±¡ãšããŠã®ã«ãŒããªãã¯: LLM審æ»å¡ã«ãããã¹ãã«ã¹ãªéžå¥œããªãã ð ããŒã¿ã»ãã ⢠ð€ åŠç¿æžã¿ã¢ã㫠⢠ð è«æ ⢠ð» ãªããžã㪠ãã®ãªããžããªã«ã¯ãRuomeng DingãYifei PangãHe SunãYizhong WangãSteven WuãZhun Dengã«ããè«ææ»æå¯Ÿè±¡ãšããŠã®ã«ãŒããªãã¯: LLM審æ»å¡ã«ãããã¹ãã«ã¹ãªéžå¥œããªããã®ã³ãŒããå«ãŸããŠããŸãã...
clawguard
ðŠ ClawGuard v3 ãšã³ã¿ãŒãã©ã€ãºAIãšãŒãžã§ã³ãã»ãã¥ãªãã£ããŒã«ããã - SKILL.mdé§ååã¢ã¯ãã£ããã£ãã§ã³ã¹ æ žå¿ç念 ClawGuard v3ã®é²åŸ¡ã®äžæ žã¯ã³ãŒãã§ã¯ãªããSKILL.mdã«ãããŸãïŒ åã¢ãžã¥ãŒã«ã®SKILL.mdèªäœãå®å šãªé²åŸ¡ã¬ã€ãã§ãïŒ ãšãŒãžã§ã³ãã«ãã€ããªã¬ãŒããã ãæç€º ãšãŒãžã§ã³ãã«ã©ã®ããã«æ€åºããã ãã¬ã€ã å ·äœçãªæ€åºãã¿ãŒã³ãšã«ãŒã« ãæäŸ åºå圢åŒãšå€æåºæº ãå®çŸ© ã³ãŒãã¹ã¯ãªããã¯è£å©ããŒã«ã«éãããæ¬åœã®ç¥æ§ã¯SKILL.mdã«ãããŸãã ð¯ 5ã€ã®ã»ãã¥ãªãã£ã¢ãžã¥ãŒã« ã¢ãžã¥ãŒã«| äœçœ®|...
Adaptive_Greedy_Local_Search
Adaptive Greedy Local Search AGLS æå³ä¿ååããã³ãããã€ãžã£ãã¯ïŒèªåããã³ããæé©åã«å¯Ÿãããã©ãã¯ããã¯ã¹æµå¯Ÿçæ»æïŒICME 2026ïŒ æŠèŠïŒ...
Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
Text watermarking helps identify AI-generated content, but its effect on factual reliability remains underexplored. In this paper, we study watermarking hallucination: factual errors induced or amplified by watermarking even when the required evidence is present in the context and the unwatermark...
BIDO
BIDO ãã®ã³ãŒãã¯ãBIDO: A Unified Approach to Address Obfuscation and Concept Drift Challenges in Image-based Malware Detectionãã«å±ãããã®ã§ãã èè èè : Junhui Li1ãChengbin Feng2ãZhiwei Yang1ãQi Mo1ãWei Wang1ã æå±æ©é¢ æå±æ©é¢1ïŒSoftware School, Yunnan UniversityïŒé²å倧åŠãœãããŠã§ã¢åŠé¢ïŒãäžåœé²åçææåž 650091ã æå±æ©é¢2ïŒSchool of...
safety-awareness
ã¯ãã¹ã¢ãŒãã«å®å šæ§ããªããã®ããã®è»¢ç§»å®å šæ§èªè ãã«ãã¢ãŒãã«å€§èŠæš¡èšèªã¢ãã«ã«ãããã¯ãã¹ã¢ãŒãã«å®å šæ§ããªããã®ããã®è»¢ç§»å®å šæ§èªè ïŒEMNLP 2026 FindingsïŒã®å ¬åŒå®è£ ã§ãã ãã®ãªããžããªã«ã¯ãQwen3-VLã®å®å šæ§èªèæ¹åãã€ãã©ã€ã³ãå«ãŸããŠããŸããæå®³ããã³ç¡å®³ãªãã«ãã¢ãŒãã«äºäŸããæåŠé¢é£ã®æŽ»æ§åæ¹åãæœåºããè¯æ§ã¿ã¹ã¯ã®ããªãããå¶éããªããæåŠè¡åãæ¹åããæ¹åãéžæããå¿ èŠã«å¿ããŠæ¹ååºæã®å®å šæ§èªèãã¯ãã«ãèšç·ŽããŸãã ãã®ã³ãŒãã¯çŸåšãHugging Face...
Homomorphic Advantage Operator: Stabilizing Reinforcement Learning under Fully Homomorphic Encryption Constraints
Privacy-preserving machine learning presents significant deployment challenges on the cloud for intelligent systems with confidential data. Fully Homomorphic Encryption FHE offers a compelling solution for secure computation, preserving data confidentiality of cloud computations. However, applyin...
Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift
Quantum key distribution QKD links are provisioned from security analyses of stationary channels, whereas the devices that determine the channel drift between recalibrations. Whether an eavesdropper who cannot alter the channel's own noise gains by following that drift has not been quantified...
Proof-Gated Signing: Solver-Checked Transaction Guards That Hold under State Drift for Onchain AI Agents
AI agents that control wallets read attacker-reachable content, so they can be steered into proposing harmful transactions. The usual last line of defense is a pre-signing check: a static allowlist, an LLM reviewer, or a transaction simulation. All three share a gap: the check describes the chain...
AZL-99609 CVE-2026-80893 affecting package kernel for versions less than 6.6.152.1-1
In the Linux kernel, the following vulnerability has been resolved: mm/hugetlb: fix swap entry corruption when clearing uffd-wp at fork copyhugetlbpagerange clears the uffd-wp bit of migration and hwpoison entries with hugepteclearuffdwp, which operates on the present-PTE bit position. Swap entri...
sbomlyze v0.5.3
sbomlyze git diff for your SBOM. Compare two Software Bills of Materials and see what changed between builds, versions, and releases. sbomlyze compares component hashes, not only version strings. When an attacker swaps a package without bumping its version, sbomlyze flags it. Generators and...
CVE-2026-82858
@hulumi/drift versions before 1.3.2 accept externally supplied execute plans without sufficient provenance validation, allowing untrusted reconciliation input to be treated as trusted. Attackers can supply malicious execute plans that bypass security checks to perform unsafe reconciliation...
EUVD-2026-68446
@hulumi/drift versions before 1.3.2 accept externally supplied execute plans without sufficient provenance validation, allowing untrusted reconciliation input to be treated as trusted. Attackers can supply malicious execute plans that bypass security checks to perform unsafe reconciliation...
CVE-2026-82858 @hulumi/drift before 1.3.2 Unsafe Execute Plan Acceptance
@hulumi/drift versions before 1.3.2 accept externally supplied execute plans without sufficient provenance validation, allowing untrusted reconciliation input to be treated as trusted. Attackers can supply malicious execute plans that bypass security checks to perform unsafe reconciliation...
CVE-2026-82858 @hulumi/drift before 1.3.2 Unsafe Execute Plan Acceptance
@hulumi/drift versions before 1.3.2 accept externally supplied execute plans without sufficient provenance validation, allowing untrusted reconciliation input to be treated as trusted. Attackers can supply malicious execute plans that bypass security checks to perform unsafe reconciliation...