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Adversarial ML Problems Are Getting Harder to Solve and to Evaluate
In the past decade, considerable research effort has been devoted to securing machine
learning (ML) models that operate in adversarial settings. Yet, progress has been slow even …
learning (ML) models that operate in adversarial settings. Yet, progress has been slow even …
Multi-Faceted Studies on Data Poisoning can Advance LLM Development
P He, Y **ng, H Xu, Z **ang, J Tang - arxiv preprint arxiv:2502.14182, 2025 - arxiv.org
The lifecycle of large language models (LLMs) is far more complex than that of traditional
machine learning models, involving multiple training stages, diverse data sources, and …
machine learning models, involving multiple training stages, diverse data sources, and …