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TrustTFM@SaTML 2027 : TrustTFM@SaTML 2027 - 1st Workshop on Trustworthiness of Tabular Foundation Models (TrustTFM) | |||||||||||||
| Link: https://karimtito.github.io/trusttfm-2027/index.html | |||||||||||||
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Call For Papers | |||||||||||||
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CALL FOR PAPERS – TrustTFM 2027 @ IEEE SaTML 2027 The 1st International Workshop on Trustworthiness of Tabular Foundation Models, in conjunction with The 5th IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SaTML 2027) Reykjavik, Iceland – May 3, 2027 =============================================================================== Submission deadline: November 15, 2026 (23:59 Anywhere on Earth) Workshop website: https://karimtito.github.io/trusttfm-2027/index.html Submission: https://cmt3.research.microsoft.com/TrustTFM2027 ABOUT TrustTFM 2027 --------------- Foundation Models have been used successfully in vision and language tasks, yet a large number of real-world applications in finance, healthcare, or industry instead rely on large scale tabular data, which models have largely remained contained to classical machine learning. The emergence of in-context learners applied to tabular data, more precisely Tabular Foundation Models (TFMs), offers a new paradigm that promises to drastically expand the field of applications of tabular data. However, such a paradigm comes with traditional issues of foundation models, such as robustness, privacy, explainability, or fairness. Given the growing interest in TFMs and the potential applications in sensitive domains, we as a community must address the particular issues that come with TFMs. TrustTFM aims to bring together both the TFMs and structured-data research communities, industrial experts applying TFMs, and the security ML research community to discuss, plan and address the issues in current and future TFMs and in their application. TrustTFM promotes cross-disciplinary discussions and intends to foster and structure a new community along the lines of security related topics in TFMs and their applications. This half-day event at IEEE SaTML will feature keynotes, spotlight talks, and interactive discussions designed to identify missing benchmarks, threat models, and promising future research directions. TOPICS OF INTEREST --------------- Topics include, but are not limited to: Robustness and reliability adversarial attacks against TFMs (e.g. context manipulation, distribution shift), defenses (e.g. adaptation, fine-tuning, outlier detection), missing or corrupted data, calibration, uncertainty, reliable adaptation or fine-tuning Privacy and security membership inference, data leakage from inference-time contexts, data/model extraction and reconstruction attacks, poisoning, privacy-preserving inference; Fairness and responsible prediction group and individual fairness, context-induced disparities, counterfactual fairness, fairness under distribution shift; Interpretability and explainability feature attribution and post-hoc explanations, robustness and stability of explanations, analysis of representations and attention, invariance properties, auditing, understanding the roles of the pretrained prior and inference-time context, identifying the influence of specific support examples; Evaluation and guarantees trustworthy benchmarks, tools and demos in real-world applications, threat models, reproducibility, certification, verification, evaluation in high-stakes settings. SUBMISSION CATEGORIES --------------- TrustTFM welcomes submissions from both academia and industry. TrustTFM is a non-proceeding workshop: accepted papers will not be published. The authors retain the rights to submit their work or an extension of their work to any future conference/journal. Only an accepted pre-print version of the paper will be added on the workshop website (with the authors' permission) to foster open research. At least one author from an accepted submission is required to attend the workshop to present the paper. Technical paper (up to 6 pages): TrustTFM accepts a large variety of submissions: applied or theoretical methods, empirical studies, industrial case studies, benchmarks/datasets, tools, etc. Papers should detail the trustworthiness problem tackled and the method to address it. Experimental results are not mandatory, but preliminary results are encouraged. Papers should be formatted according to the IEEE proceeding style (two-column). An additional 1-2 pages of references for each submission is allowed. Unlimited appendix if needed. The page limit is strict. IMPORTANT DATES --------------- Paper submission: November 15, 2026 Author notification: December 15, 2026 Workshop date: May 3, 2027 All deadlines are 23:59 Anywhere on Earth (AoE). ORGANIZING COMMITTEE --------------- Maxime Cordy – SnT, University of Luxembourg Karim Tit – SnT, University of Luxembourg Florian Tambon – SnT, University of Luxembourg Tânia Carvalho – SnT, University of Luxembourg Joël Ky – SnT, University of Luxembourg Mohammed Djilani – SnT, University of Luxembourg VENUE ----- Reykjavik, Iceland May 3, 2027 CONTACT ------- For questions about submissions, please contact: Karim Tit: karim.tit@uni.lu We look forward to receiving your submissions and to welcoming you to TrustTFM 2027 in Reykjavik, Iceland |
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