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Institute for AIMultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot LearningIn manufacturing, quality control remains a critical yet complex task, especially when multiple defect types are involved. MultiADS introduces a system capable of detecting and segmenting a wide range of anomalies (e.g., scratches, bends, holes), even in zero-shot settings.By combining visual analysis with descriptive textual input and using a curated Knowledge Base for Anomalies, MultiADS generalizes to unseen defect types without requiring prior visual examples and consistently outperforms state-of-the-art models across several benchmarks, offering a robust and scalable solution for industrial inspection tasks.Sadikaj, Y., Zhou, H., Halilaj, L., Schmid, S., Staab, S., & Plant, C. MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning. International Conference on Computer Vision, ICCV 2025, Hawai, Oct 19-23, 2025, <a href="https://xn--baw-joa.social/tags/ICCV2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ICCV2025</a>. <a href="https://arxiv.org/abs/2504.06740" rel="nofollow noopener" translate="no" target="_blank">https://arxiv.org/abs/2504.06740</a>.<a href="https://xn--baw-joa.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://xn--baw-joa.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIResearch</a> <a href="https://xn--baw-joa.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#ComputerVision</a> <a href="https://xn--baw-joa.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://xn--baw-joa.social/tags/ZeroShot" class="mention hashtag" rel="nofollow noopener" target="_blank">#ZeroShot</a>

Bytes EuropeIntegrating AI and ML technologies across OT, ICS environments to enhance anomaly detection and operational resilience <a href="https://www.byteseu.com/938379/" rel="nofollow noopener" translate="no" target="_blank">https://www.byteseu.com/938379/</a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://pubeurope.com/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://pubeurope.com/tags/Armis" class="mention hashtag" rel="nofollow noopener" target="_blank">#Armis</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/ControlSystem" class="mention hashtag" rel="nofollow noopener" target="_blank">#ControlSystem</a> <a href="https://pubeurope.com/tags/Darktrace" class="mention hashtag" rel="nofollow noopener" target="_blank">#Darktrace</a> <a href="https://pubeurope.com/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> <a href="https://pubeurope.com/tags/ics" class="mention hashtag" rel="nofollow noopener" target="_blank">#ics</a> <a href="https://pubeurope.com/tags/industrial" class="mention hashtag" rel="nofollow noopener" target="_blank">#industrial</a> <a href="https://pubeurope.com/tags/IndustrialControl" class="mention hashtag" rel="nofollow noopener" target="_blank">#IndustrialControl</a> <a href="https://pubeurope.com/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://pubeurope.com/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nvidia</a> <a href="https://pubeurope.com/tags/OperationalResilience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OperationalResilience</a> <a href="https://pubeurope.com/tags/OT" class="mention hashtag" rel="nofollow noopener" target="_blank">#OT</a> <a href="https://pubeurope.com/tags/ThreatIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ThreatIntelligence</a> <a href="https://pubeurope.com/tags/ThreatGEN" class="mention hashtag" rel="nofollow noopener" target="_blank">#ThreatGEN</a>

Tycoon WorldAI in Banking Security: Revolution & Risks<a href="https://mastodon.social/tags/TycoonWorld" class="mention hashtag" rel="nofollow noopener" target="_blank">#TycoonWorld</a> <a href="https://mastodon.social/tags/AIinBanking" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIinBanking</a> <a href="https://mastodon.social/tags/BankingSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#BankingSecurity</a> <a href="https://mastodon.social/tags/CyberSecurityAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#CyberSecurityAI</a> <a href="https://mastodon.social/tags/FinTechSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#FinTechSecurity</a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> <a href="https://mastodon.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://mastodon.social/tags/BehavioralAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#BehavioralAnalytics</a> <a href="https://mastodon.social/tags/ThreatDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#ThreatDetection</a> <a href="https://mastodon.social/tags/FraudPrevention" class="mention hashtag" rel="nofollow noopener" target="_blank">#FraudPrevention</a> <a href="https://mastodon.social/tags/PredictiveAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#PredictiveAnalytics</a> <a href="https://mastodon.social/tags/EthicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#EthicalAI</a> <a href="https://mastodon.social/tags/DataPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPrivacy</a> <a href="https://mastodon.social/tags/ExplainableAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#ExplainableAI</a> <a href="https://mastodon.social/tags/AdversarialAttacks" class="mention hashtag" rel="nofollow noopener" target="_blank">#AdversarialAttacks</a> <a href="https://mastodon.social/tags/BankingInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#BankingInnovation</a> <a href="https://mastodon.social/tags/FinancialSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#FinancialSecurity</a> <a href="https://mastodon.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIethics</a> <a href="https://mastodon.social/tags/AIrisks" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIrisks</a> <a href="https://mastodon.social/tags/DigitalBanking" class="mention hashtag" rel="nofollow noopener" target="_blank">#DigitalBanking</a> <a href="https://mastodon.social/tags/AIinFinance" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIinFinance</a> <a href="https://mastodon.social/tags/AIandCybercrime" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIandCybercrime</a> <a href="https://mastodon.social/tags/SmartBanking" class="mention hashtag" rel="nofollow noopener" target="_blank">#SmartBanking</a> <a href="https://mastodon.social/tags/FinTechTrends" class="mention hashtag" rel="nofollow noopener" target="_blank">#FinTechTrends</a> <a href="https://mastodon.social/tags/CyberRiskMitigation" class="mention hashtag" rel="nofollow noopener" target="_blank">#CyberRiskMitigation</a><a href="https://tycoonworld.in/ai-in-banking-security-revolution-risks/" rel="nofollow noopener" translate="no" target="_blank">https://tycoonworld.in/ai-in-banking-security-revolution-risks/</a>

PyCharm BlogAnomaly Detection in Time Series <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://techhub.social/tags/Pycharm" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pycharm</a> <a href="https://techhub.social/tags/Datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Datascience</a> <a href="https://techhub.social/tags/Howtos" class="mention hashtag" rel="nofollow noopener" target="_blank">#Howtos</a> <a href="https://techhub.social/tags/Anomalydetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anomalydetection</a><a href="https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-time-series/" rel="nofollow noopener" translate="no" target="_blank">https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-time-series/</a>

PyCharm BlogAnomaly Detection in Machine Learning Using Python <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://techhub.social/tags/Pycharm" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pycharm</a> <a href="https://techhub.social/tags/Datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Datascience</a> <a href="https://techhub.social/tags/Howtos" class="mention hashtag" rel="nofollow noopener" target="_blank">#Howtos</a> <a href="https://techhub.social/tags/Anomalydetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anomalydetection</a><a href="https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-machine-learning/" rel="nofollow noopener" translate="no" target="_blank">https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-machine-learning/</a>

Towards Data ScienceShared Nearest Neighbors (SNN) — A distance metric that can improve prediction, clustering, and outlier detection in datasets with many dimensions and with varying densities. Read more from W Brett Kennedy now!<a href="https://me.dm/tags/Clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#Clustering</a> <a href="https://me.dm/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://towardsdatascience.com/shared-nearest-neighbors-a-more-robust-distance-metric-064d7f99ffb7" rel="nofollow noopener" translate="no" target="_blank">https://towardsdatascience.com/shared-nearest-neighbors-a-more-robust-distance-metric-064d7f99ffb7</a>

VictoriaMetrics🚀 We're just one day away from <a href="https://mastodon.social/tags/KubeCon" class="mention hashtag" rel="nofollow noopener" target="_blank">#KubeCon</a> North America. VictoriaMetrics is bringing our cutting-edge <a href="https://mastodon.social/tags/observability" class="mention hashtag" rel="nofollow noopener" target="_blank">#observability</a> solutions to the event, and we're excited to showcase what makes our high-performance, <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> time series database & log database stand out. Whether you're tackling anomaly detection, root cause analysis, or looking for a reliable hosted monitoring solution, VictoriaMetrics has you covered.<a href="https://mastodon.social/tags/TimeSeriesDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#TimeSeriesDatabase</a> <a href="https://mastodon.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://mastodon.social/tags/Monitoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#Monitoring</a> <a href="https://mastodon.social/tags/CloudNativeCon" class="mention hashtag" rel="nofollow noopener" target="_blank">#CloudNativeCon</a>

Ben Lorica 罗瑞卡🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game! <a href="https://indieweb.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> <a href="https://indieweb.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a> <a href="https://indieweb.social/tags/PromptInjection" class="mention hashtag" rel="nofollow noopener" target="_blank">#PromptInjection</a> <a href="https://indieweb.social/tags/Cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cybersecurity</a> <a href="https://indieweb.social/tags/EthicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#EthicalAI</a> <a href="https://indieweb.social/tags/ResponsibleAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#ResponsibleAI</a> <a href="https://indieweb.social/tags/AISafety" class="mention hashtag" rel="nofollow noopener" target="_blank">#AISafety</a> <a href="https://indieweb.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> <a href="https://indieweb.social/tags/WeatherForecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#WeatherForecasting</a> <a href="https://indieweb.social/tags/GraphNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#GraphNeuralNetworks</a> <a href="https://indieweb.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://indieweb.social/tags/ClimateChange" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClimateChange</a> <a href="https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging" rel="nofollow noopener" translate="no" target="_blank">https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging</a>

_Veronica_If you ever used our <a href="https://infosec.exchange/@stratosphere" class="u-url mention" rel="nofollow noopener" target="_blank">@stratosphere</a> malware datasets, we have good news! Under my direction, we will be actively working on improving all our datasets to make them better and more accessible to the community.These datasets are unique in many ways and we look to make them even better. If you have suggestions, ideas, would-be-nice comments, use cases, or any comments in general we would love to hear about it! These datasets were initially created to aid machine learning researchers in developing new and better models to identify malicious behaviors in the network. When we started, there were few datasets out there with real malware network traffic that lasted longer than just a few minutes. <a href="https://mcfp.felk.cvut.cz/publicDatasets/" rel="nofollow noopener" translate="no" target="_blank">https://mcfp.felk.cvut.cz/publicDatasets/</a><a href="https://infosec.exchange/tags/networksecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#networksecurity</a> <a href="https://infosec.exchange/tags/malwaretraffic" class="mention hashtag" rel="nofollow noopener" target="_blank">#malwaretraffic</a> <a href="https://infosec.exchange/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://infosec.exchange/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://infosec.exchange/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#cybersecurity</a> <a href="https://infosec.exchange/tags/maliciousbehaviors" class="mention hashtag" rel="nofollow noopener" target="_blank">#maliciousbehaviors</a> <a href="https://infosec.exchange/tags/datasets" class="mention hashtag" rel="nofollow noopener" target="_blank">#datasets</a> <a href="https://infosec.exchange/tags/networktrafficanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#networktrafficanalysis</a> <a href="https://infosec.exchange/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#ml</a> <a href="https://infosec.exchange/tags/anomalydetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#anomalydetection</a>

Marko JahnkeIn the early 2000s, <a href="https://bonn.social/tags/SvenHenkel" class="mention hashtag" rel="nofollow noopener" target="_blank">#SvenHenkel</a> and myself developed an <a href="https://bonn.social/tags/IDMEF" class="mention hashtag" rel="nofollow noopener" target="_blank">#IDMEF</a>/ <a href="https://bonn.social/tags/IDXP" class="mention hashtag" rel="nofollow noopener" target="_blank">#IDXP</a> compliant security event message pipelining framework for collecting and consolidating log messages, e.g., from network <a href="https://bonn.social/tags/IDS" class="mention hashtag" rel="nofollow noopener" target="_blank">#IDS</a>, and <a href="https://bonn.social/tags/EDR" class="mention hashtag" rel="nofollow noopener" target="_blank">#EDR</a> products. In the messages stream, we were able to match multi-stage <a href="https://bonn.social/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlation</a> <a href="https://bonn.social/tags/DetectionRules" class="mention hashtag" rel="nofollow noopener" target="_blank">#DetectionRules</a> in near real-time (in-memory), before everything was stored in a central database. Structural graph-based <a href="https://bonn.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#AnomalyDetection</a> was developed later by some colleagues.We called it <a href="https://bonn.social/tags/MetaIDS" class="mention hashtag" rel="nofollow noopener" target="_blank">#MetaIDS</a>.

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