Xilie Xu
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🏆
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Application Areas
(2)
Natural Language Processing
(1)
Security & Privacy
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Privacy
(1)
Keywords
adversarial training
(3)
adversarial robustness
(3)
adversarial attack
(2)
adversarial contrastive learning
(2)
low-rank adaptation
(2)
large language model
(2)
causal reasoning
(1)
image generation
(1)
representation learning
(1)
privacy preservation
(1)
adversarial defense
(1)
language model alignment
(1)
reinforcement learning from human feedback
(1)
two-sample test
(1)
preference alignment
(1)
human feedback
(1)
coreset selection
(1)
submodular maximization
(1)
projected gradient descent
(1)
hyperparameter optimization
(1)
Papers
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
AAAI 2025
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
ICLR 2024
AutoLoRa: An Automated Robust Fine-Tuning Framework
ICLR 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
NeurIPS 2024
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
NeurIPS 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
NeurIPS 2023
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
ICML 2022
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
ICML 2020