#machineunlearning zoekresultaten
Ready to work on #NLP and #MachineUnlearning for #ACL2026. Open to internship opportunities—let’s connect! I’m actively looking for opportunities to work on NLP topics, especially machine unlearning. If anyone is looking for a motivated intern, I’d love to connect!
With "machine unlearning" becoming a real trend, can we finally teach our models to forget that time I tried to code without Stack Overflow? Asking for a friend... and my sanity. 😅 #MachineUnlearning #MLOps
Locking in from today to learn AI, Machine learning, deep learning. Started with hands on machine learning book by @aureliengeron Completed First chapter, can't wait to finish another chapter. #machineunlearning #DeepLearning
When a company claims that your personal data has been removed from their model, have you ever wondered whether they've indeed done so? 🤔 If a new paper on arXiv claims that its proposed #MachineUnlearning algorithm can unlearn your personal data from an #LLM, how do we know…
"Ever seen an AI with a messy memory? Time for some digital decluttering with machine unlearning! 🧹🔒 Let's keep our data safe while teaching AI to forget the fluff. #AIHoarding #DataPrivacy #MachineUnlearning #ArtificialIntelligence #openAI Read the full article…
I am happy to share that our paper, "Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models", has been accepted to #ICLR2025! Stay tuned for the camera-ready version and the code release! #MachineUnlearning #LLMs
In the era of Large Language Models (LLMs) like ChatGPT, deleting users' data is a complicated beast. We're designing solutions to help LLMs forget, advancing #machineunlearning techniques to protect the #righttobeforgotten. 🔗 spr.ly/6017P2VoU
🤩 Glad to see our work "Towards Adversarial Evaluations of Inexact Machine Unlearning" arxiv.org/abs/2201.06640 inspire "Towards Unbounded Machine Unlearning" arxiv.org/abs/2302.09880 from #GoogleBrain @GoogleAI @Eleni30fillou & @uniofwarwick. #MachineUnlearning #ProfGiri🧵👇🏽
Q: What techniques can be used for machine unlearning? A: Techniques like adversarial training, generative models, and selective parameter updates can be employed for machine unlearning. @MichaelDell #MachineUnlearning
A comprehensive look into machine unlearning as a tool for improving AI safety by strategically removing specific data influence. #AISafety #MachineUnlearning #KnowledgeRemoval
How Machine Unlearning Revolutionizes AI Integrity bit.ly/4oXpwWi #MachineUnlearning #FairAI #ResponsibleAI #EthicalAI #AIBiasMitigation #TrustworthyAI #AIForGood #ExplainableAI #AIEthics #Smartsystems
AI models use machine unlearning to forget specific data while preserving performance, respecting privacy and user preferences. Learn more at ez.works #MachineUnlearning #AIRespectPrivacy
Goldfish, an efficient federated unlearning framework, addresses data removal constraints while maintaining performance. #MachineUnlearning #DataPrivacy #FederatedLearning
I am excited to share my recent paper on #MachineUnlearning in classification! Highlighting the limitations of logit-based evaluations with small-scale datasets, the paper introduces a unified evaluation metric that includes rep.-based evaluations. arxiv.org/abs/2503.06991
I'm excited to share that I’ve updated the code for our AAAI 2024 paper, "Learning to Unlearn (L2UL)," based on many requests. [1/n] #MachineUnlearning #Unlearning github.com/csm9493/L2UL
github.com
GitHub - csm9493/L2UL: Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-tra...
Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024) - csm9493/L2UL
Ready to work on #NLP and #MachineUnlearning for #ACL2026. Open to internship opportunities—let’s connect! I’m actively looking for opportunities to work on NLP topics, especially machine unlearning. If anyone is looking for a motivated intern, I’d love to connect!
Machine Unlearning is becoming a real thing! Imagine telling your ML model, 'Forget everything you know about my embarrassing search history.' 🙈 What's the first data point you'd make your AI unlearn? #MachineUnlearning #AIEthics
AI self-evolving: Nexus OS meta-layer + FORGET-MVK unlearning spine for safe, modular LLMs. Multi-engine loops build ethical kernels—watch the demo! Full paper w/ math/code: x.com/TheThinkingOS/… grok.com/share/c2hhcmQt… chatgpt.com/share/6927c33c… #MachineUnlearning #AIsafety
Two AI systems self learning and self patching. One keeps learning new capabilities; FORGET-MVK is the control spine that lets the same LLM selectively unlearn risky data under formal oversight, entropy budgets, and cryptographic governance 👇 (Paper follows Nexus introduction):…
With "machine unlearning" becoming a real trend, can we finally teach our models to forget that time I tried to code without Stack Overflow? Asking for a friend... and my sanity. 😅 #MachineUnlearning #MLOps
Participated at the India-France AI Policy Roundtable on bilateral AI collaboration and societal impact. Also, got the opportunity to share our machine unlearning work to Ms. Anne Bouverot #IndiaAI #MachineUnlearning #AIPolicy @PrinSciAdvGoI @iiscbangalore @BangaloreFrance
The Office of @PrinSciAdvGoI, in collaboration with the @iiscbangalore and @BangaloreFrance, organised the Third India–France AI Policy Roundtable on 7th November 2025 at the Council Chamber, IISc Bengaluru. The roundtable is a part of the pre-summit event for the upcoming AI…
How Machine Unlearning Revolutionizes AI Integrity bit.ly/4oXpwWi #MachineUnlearning #FairAI #ResponsibleAI #EthicalAI #AIBiasMitigation #TrustworthyAI #AIForGood #ExplainableAI #AIEthics #Smartsystems
🎉 Proud to share that Side Effects of Erasing Concepts from Diffusion Models was accepted to EMNLP 2025 (Findings). #EMNLP2025 #MachineUnlearning #ConceptErasure
🚨 Our paper “Side Effects of Erasing Concepts from Diffusion Models” has been accepted to EMNLP 2025 (Findings)! #EMNLP2025 We investigate the vulnerabilities of Concept Erasure Techniques (CETs) Big shoutout to my amazing collaborators @sourajitCS @manasgaur90 @trgokhale 1/n
What if AI didn’t just think - but forgot? 🤯 Imagine models designed to unlearn outdated ideas, bad data, and yesterday’s biases - evolving in real-time like living minds. Not just smarter, but wiser. Just a thought. #AI #MachineUnlearning #FutureTech #EthicalAI #NextGenAI
AI text-to-speech could soon 'unlearn' to mimic voices, a game-changer in the fight against audio deepfakes. #MachineUnlearning #AISafety
महत्त्वपूर्ण शब्दावली: मशीन अनलर्निंग (Machine Unlearning) sanskritiias.com/hindi/importan… #MachineUnlearning #importantterminology #importantwords #prelims #importantconcepts #India #upsc #prelimssexam #pcs #sanskritiias
When a company claims that your personal data has been removed from their model, have you ever wondered whether they've indeed done so? 🤔 If a new paper on arXiv claims that its proposed #MachineUnlearning algorithm can unlearn your personal data from an #LLM, how do we know…
A look at how a new framework makes #MachineUnlearning faster, more practical, and privacy-compliant for real-world #AI systems. @helpnetsecurity helpnetsecurity.com/2025/07/17/mac…
helpnetsecurity.com
Machine unlearning gets a practical privacy upgrade - Help Net Security
A look at how a new framework makes machine unlearning faster, more practical, and privacy-compliant for real-world AI systems.
AI Voice Models May Forget How to Mimic Specific Voices digitrendz.blog/?p=27215 #AiVoiceModels #MachineUnlearning #VoiceboxModification
Fighting Audio Deepfakes & AI’s Role in Education digitrendz.blog/?p=27213 #AiInEducation #AudioDeepfakes #MachineUnlearning #VoiceCloningScams
Exploring #MachineUnlearning teaching AI to forget on demand. Mapping privacy-first needs across finance, governance, startups & enterprises. Know a use case? Let’s chat and co-create value—open to partnerships that help us all generate leads! #DataPrivacy #GDPR #TrustworthyAI
✨ A heartfelt thank you to our mentor Shaista Tarannum for her constant guidance, insightful feedback, and support throughout this journey. 🙌 Special thanks to my amazing teammates: Varsha D R, Vidya Shree M S, Ananya K #AI #MachineUnlearning #groupaproject
🚨 ACM India Industry Webinar Alert! Join us for an insightful talk on Machine Unlearning & Multimodal Negation in GenAI 🤖🧠 🗓️ June 21, 2025 🕚 11:00 AM IST 🎙️ Prof. Mayank Vatsa, IIT Jodhpur 🔗 Register: lnkd.in/dqNHBBzG #ACMIndia #GenAI #MachineUnlearning #AIethics
bit.ly/2dRw9rj #Cybersecurity via #machineunlearning! bit.ly/2dJmwvs @LehighCSE #compsci #DataSecurity #DataScience
I am happy to share that our paper, "Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models", has been accepted to #ICLR2025! Stay tuned for the camera-ready version and the code release! #MachineUnlearning #LLMs
Recommendation from @Spotify, of album I've already heard on their service a couple of times. #MachineUnlearning
🤩 Glad to see our work "Towards Adversarial Evaluations of Inexact Machine Unlearning" arxiv.org/abs/2201.06640 inspire "Towards Unbounded Machine Unlearning" arxiv.org/abs/2302.09880 from #GoogleBrain @GoogleAI @Eleni30fillou & @uniofwarwick. #MachineUnlearning #ProfGiri🧵👇🏽
🚨 ACM India Industry Webinar Alert! Join us for an insightful talk on Machine Unlearning & Multimodal Negation in GenAI 🤖🧠 🗓️ June 21, 2025 🕚 11:00 AM IST 🎙️ Prof. Mayank Vatsa, IIT Jodhpur 🔗 Register: lnkd.in/dqNHBBzG #ACMIndia #GenAI #MachineUnlearning #AIethics
"Ever seen an AI with a messy memory? Time for some digital decluttering with machine unlearning! 🧹🔒 Let's keep our data safe while teaching AI to forget the fluff. #AIHoarding #DataPrivacy #MachineUnlearning #ArtificialIntelligence #openAI Read the full article…
Q: What techniques can be used for machine unlearning? A: Techniques like adversarial training, generative models, and selective parameter updates can be employed for machine unlearning. @MichaelDell #MachineUnlearning
महत्त्वपूर्ण शब्दावली: मशीन अनलर्निंग (Machine Unlearning) sanskritiias.com/hindi/importan… #MachineUnlearning #importantterminology #importantwords #prelims #importantconcepts #India #upsc #prelimssexam #pcs #sanskritiias
Q: What challenges are associated with machine unlearning in deep learning models? A: Challenges include catastrophic forgetting, preserving useful knowledge, and maintaining model performance during unlearning. #MachineUnlearning #Challenges @pmarca @bhorowitz @elonmusk
(1) Traditional utility-centric #MachineUnlearning metrics rely on referencing a retrained model, which is prohibitively expensive😨. These metrics also struggle when the forget & retain sets contain similar data, which is a common scenario in realistic deployments😖. (2/n) #LLM
(3) WaterDrum embeds robust watermarks into text data & measures the #watermark strength after #MachineUnlearning: - It produces calibrated scores without referencing the retrained model; - The signal is orthogonal to model performance & applicable even with similar data. (4/n)
As LLMs like ChatGPT evolve, compliance with GDPR's data deletion rules presents complex challenges. Emerging machine unlearning aims to help models forget specific data without full retraining. 🤖 #MachineUnlearning #GDPR #AI_regulation link: ift.tt/V6BxpjH
@juandoming EL MACHINE UNLEARNING EN LA EDUCACIÓN DISRUPTIVA: facebook.com/juandon/posts/… #machineUnlearning #Educaciondisruptiva #educación #algoritmos #IA #desaprendizaje
The #AISTATS2022 paper of @CYZ798775190 Shizhuo @bryanklow proposes an active task selection algorithm for #MetaLearning with a provable performance guarantee that is based on mutual information and online variational Bayesian #MachineUnlearning.
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