See you at #EACL2026 in Rabat 🕌!
#LLMs #AI #NLP #NLProc #MachineUnlearning #AIPrivacy #AISafety #ExplainableAI #ResponsibleAI @cs-tudarmstadt.bsky.social
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#machineunlearning
Posts tagged #machineunlearning on Bluesky
We would like to introduce the new publication in TAI, application of Thirty-Six Stratagems (三十六计) in medical image analysis, by Prof. Dapeng Wu, from City University of Hong Kong
www.sciltp.com/journals/tai...
#federatedlearning #medicalimageanalysis #trustworthymachinelearning #machineunlearning
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Machine Unlearning & Robustness via Constrained LLM Interventions
A new study shows a constraint‑driven weight tweak that blocks targeted vocabularies and improves jailbreak resistance, beating max‑min methods without external classifier. Read more: getnews.me/machine-unlearning-robus... #machineunlearning #robustness
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Machine Unlearning Cuts Safety Mirage in Vision‑Language Models
Machine unlearning reduces the success of a one‑word safety‑mirage attack by up to 60.17% and cuts unnecessary rejections by over 84.20%. Read more: getnews.me/machine-unlearning-cuts-... #machineunlearning #aialignment
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OFMU Framework Boosts Machine Unlearning for AI Models
OFMU employs bi‑level optimization with a penalty to separate forgetting and retention, delivering convergence for large language models. Sept 2025. Read more: getnews.me/ofmu-framework-boosts-ma... #machineunlearning #ai #gdpr
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Machine Unlearning Offers Opt‑Out Solution for AI Music Generation
At NeurIPS 2025, researchers tested machine‑unlearning on a text‑to‑music model, showing it can forget specific training data while keeping overall quality. Read more: getnews.me/machine-unlearning-offer... #machineunlearning #aimusic
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TraceHiding: Scalable Machine Unlearning for Mobility Data
TraceHiding offers a scalable, importance‑aware way to delete mobility trajectories from models without retraining, achieving up to 40× speed‑up, tested on HO‑Rome, HO‑Geolife and HO‑NYC. getnews.me/tracehiding-scalable-mac... #machineunlearning #privacy
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Contrastive Learning Boosts Machine Unlearning Effectiveness
CoUn uses contrastive learning on retained data to push forgotten samples away in latent space, boosting machine‑unlearning effectiveness without full retraining. Read more: getnews.me/contrastive-learning-boo... #machineunlearning #contrastivelearning #ai
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🎧 Listen now: youtu.be/osHrYXwCvpQ
📢 Follow us for more stories from women shaping the future of AI.
#WiAIR #WomenInAI #LLMs #ResponsibleAI #AIinHealthcare #Interpretability #BiasInAI #MachineUnlearning #AIethics
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#AI #Privacy #MachineLearning #LargeLanguageModels #LLMs #Research #ArtificialIntelligence #DataSecurity #DifferentialPrivacy #MachineUnlearning #TMLR #Publication #HealthcareAI #DataTools4Heart #Translated
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Peut-on imposer une « amnésie sélective » à l’ #IAgénérative et pourquoi ?
#désapprentissage #MachineUnlearning
www.linkedin.com/posts/fran%C...
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🚨New preprint alert! “Supporting Trustworthy AI Through Machine Unlearning” now available on SSRN: papers.ssrn.com/sol3/papers....
Curious about how new Machine Unlearning techniques can make AI better? Summary 🧵below…
#HCI #STS #AI #MachineUnlearning #MachineLearning
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