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Nassim Walha

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
2025 · Ahmed Frikha, Nassim Walha, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · 3
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
2026 · Gruber, Sebastian G., Walha, Nassim, et al. · arXiv (Cornell University)
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Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
2026 · Nassim Walha, Sebastian G. Gruber, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
2026 · Jenane, Azza, Walha, Nassim, et al. · arXiv (Cornell University)
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1301 - Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
2026 · Association for Artificial Intelligence 2026, Buettner, Florian, et al. · Underline Science Inc.
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
2026 · Association for Artificial Intelligence 2026, Buettner, Florian, et al. · Underline Science Inc.
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
2025 · Association for Computational Linguistics 2025, Frikha, Ahmed, et al. · Underline Science Inc.
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets
2024 · Frikha, Ahmed, Walha, Nassim, et al. · arXiv (Cornell University)
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IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
2024 · Frikha, Ahmed, Walha, Nassim, et al. · arXiv (Cornell University)
PDF
Works count: 10
Citation count: 3
H-index: 1
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