We’re happy to celebrate that Hoda Fakhar’s paper has been accepted to ECML PKDD! Congratulations! 🎉👇
Happy to share that our paper, “Not All Secrets Are Equal: Type-Aware Unlearning for Language Model Secret Removal,” has been accepted to ECML PKDD 2026 🎉 In this work, we study how to surgically remove memorized secrets from language models without affecting the model’s broader capabilities. We find that different types of secrets behave differently during unlearning, which led us to PSTU. Looking forward to presenting this at ECML PKDD 2026: (https://ecmlpkdd.org/2026/) Big thanks to Amath SOW and Andreas Bueff, and to my supervisors Jiahui Geng, Mattias Tiger, and Fredrik Heintz for their continued guidance, valuable feedback, and collaboration throughout this project. #ECMLPKDD #MachineLearning #LLM #AIResearch This work was supported by TrustLLM and funding from the European Union 🇪🇺