Nathalie Baracaldo
8 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (18)
π
Conference Polyglot
(6)
π
Grand Slam
β
The Questioner
Conferences
ICLR (2)
ICML (2)
AAAI (1)
AISTATS (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
machine unlearning
(2)
representation learning
(1)
adversarial robustness
(1)
feature selection
(1)
gradient-based optimization
(1)
knowledge editing
(1)
in-context learning
(1)
preference optimization
(1)
model editing
(1)
communication efficiency
(1)
probability calibration
(1)
backdoor attack
(1)
data heterogeneity
(1)
parameter-efficient fine-tuning
(1)
vertical federated learning
(1)
model utility preservation
(1)
weight attribution
(1)
knowledge forgetting
(1)
model utility
(1)
expected calibration error
(1)
Papers
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
EMNLP 2025
MAP: Multi-Human-Value Alignment Palette
ICLR 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NIPS 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
Single-shot General Hyper-parameter Optimization for Federated Learning
ICLR 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
ICML 2023
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
AAAI 2021