Niloofar Mireshghallah
12 papers · 2023–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (21) 👑 Triple Crown ⚡ Prolific Year · Productive
💎
Century Club · Bronze
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The Questioner
Top co-authors
Research topics
Machine Learning
(10)
Natural Language Processing
(8)
Artificial Intelligence
(7)
Application Areas
(7)
Core AI
(6)
Generation
(4)
Learning Types · Machine Learning
(4)
Applications
(3)
Deep Learning
(2)
Resources & Methods
(2)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
large language model
(6)
language model
(4)
text generation
(3)
training data
(2)
instruction tuning
(2)
copyright protection
(1)
noise injection
(1)
zero-shot learning
(1)
adversarial attack
(1)
text classification
(1)
data privacy
(1)
pluralistic alignment
(1)
theory of mind
(1)
prompt optimization
(1)
privacy leakage
(1)
nearest neighbor retrieval
(1)
data contamination
(1)
domain generalization
(1)
zero-shot detection
(1)
continual learning
(1)
Papers
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
ICLR 2025
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs
NAACL 2025
Differentially Private Learning Needs Better Model Initialization and Self-Distillation
NAACL 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
ACL 2025
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
ICLR 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
EMNLP 2024
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud
NAACL 2024
Position: A Roadmap to Pluralistic Alignment
ICML 2024
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
EACL 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
NeurIPS 2024
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
EMNLP 2023