Sanghyun Hong
16 papers · 2019–2025 · 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
Jump to papers ↓+8 more ↓ Show less ↑
🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
👑
Triple Crown
🏆
Grand Slam
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
❓
The Questioner
(2)
🗃️
Keyword Collector
(81)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Application Areas
(8)
Artificial Intelligence
(6)
Core AI
(6)
Architectures
(5)
Learning Types · Machine Learning
(5)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Analysis
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Keywords
adversarial attack
(3)
backdoor attack
(3)
model poisoning
(2)
image classification
(2)
early exit
(2)
privacy attack
(2)
data poisoning
(1)
model robustness
(1)
feature learning
(1)
text classification
(1)
sentiment analysis
(1)
transformer
(1)
neural architecture search
(1)
adversarial training
(1)
adversarial learning
(1)
efficient computing
(1)
neural network optimization
(1)
domain generalization
(1)
computational efficiency
(1)
deep learning
(1)
Papers
Enhancing Audio Deepfake Detection by Improving Representation Similarity of Bonafide Speech
Interspeech 2025
Harnessing Input-Adaptive Inference for Efficient VLN
ICCV 2025
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
ICML 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
ICLR 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
ICML 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
NeurIPS 2024
When Do “More Contexts” Help with Sarcasm Recognition?
COLING 2024
BERT Lost Patience Won't Be Robust to Adversarial Slowdown
NeurIPS 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
ICML 2023
Data Poisoning Won’t Save You From Facial Recognition
ICLR 2022
Handcrafted Backdoors in Deep Neural Networks
NeurIPS 2022
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
ICLR 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
NeurIPS 2021
How to 0wn the NAS in Your Spare Time
ICLR 2020
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
ICML 2019