Ching-Yun Ko
12 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π§ Keyword Pioneer π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (15) π Academic Marathon (6)
π
Interdisciplinary Bridge
π
Grand Slam
π₯
Unstoppable
(7)
π
Century Club
(10)
β
The Questioner
Conferences
ICML (3)
ACL (2)
NAACL (2)
AAAI (1)
AISTATS (1)
ICLR (1)
MLHC (1)
NIPS (1)
Top co-authors
Keywords
adversarial robustness
(3)
representation learning
(2)
neural network
(2)
adversarial attack
(2)
randomized smoothing
(2)
contrastive learning
(2)
large language model
(2)
model safety
(1)
recurrent neural network
(1)
model merging
(1)
nuclear norm
(1)
contrastive loss
(1)
inductive bia
(1)
neighborhood component analysis
(1)
neural network verification
(1)
linear programming
(1)
spectral truncation
(1)
prompt injection
(1)
decision boundary
(1)
convex relaxation
(1)
Papers
AI Steerability 360: A Toolkit for Steering Large Language Models
ACL 2026
ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks
ACL 2026
STAR: Spectral Truncation and Rescale for Model Merging
NAACL 2025
Large Language Models can Become Strong Self-Detoxifiers
ICLR 2025
Attention Tracker: Detecting Prompt Injection Attacks in LLMs
NAACL 2025
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
ICML 2024
Sample-Specific Debiasing for Better Image-Text Models
MLHC 2023
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
ICML 2022
Hidden Cost of Randomized Smoothing
AISTATS 2021
Higher-Order Certification For Randomized Smoothing
NIPS 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates
AAAI 2020
POPQORN: Quantifying Robustness of Recurrent Neural Networks
ICML 2019