Lei Hsiung
7 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(18)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
image classification
(1)
adversarial robustness
(1)
transfer learning
(1)
domain adaptation
(1)
backdoor defense
(1)
adversarial training
(1)
prompt learning
(1)
energy efficiency
(1)
safety alignment
(1)
spectral analysis
(1)
model inference
(1)
probability calibration
(1)
adversarial attack
(1)
adversarial defense
(1)
parameter-efficient fine-tuning
(1)
adversarial example
(1)
jailbreak attack
(1)
robustness evaluation
(1)
visual prompting
(1)
representation learning
(1)
Papers
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
ACL 2026
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
ACL 2025
AutoVP: An Automated Visual Prompting Framework and Benchmark
ICLR 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
NeurIPS 2024
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
AAAI 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
CVPR 2023
CARBEN: Composite Adversarial Robustness Benchmark
IJCAI 2022