G. Edward Suh
8 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Triple Crown
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Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(6)
Artificial Intelligence
(5)
Core AI
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Security & Privacy
(2)
Learning Types
(2)
Privacy
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
model compression
(1)
federated learning
(1)
multi-agent reinforcement learning
(1)
privacy attack
(1)
adversarial learning
(1)
adversarial robustness
(1)
data poisoning
(1)
blind source separation
(1)
independent component analysis
(1)
knowledge distillation
(1)
data augmentation
(1)
adversarial training
(1)
neural network optimization
(1)
efficient computing
(1)
computational efficiency
(1)
fisher information
(1)
adversarial evasion
(1)
convolutional neural network
(1)
jailbreak attack
(1)
privacy-preserving machine learning
(1)
Papers
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
ICLR 2025
Trustworthy Machine Learning through Data-Specific Indistinguishability
ICML 2025
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
NeurIPS 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
ICML 2023
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
ICLR 2023
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
NeurIPS 2021
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
ICLR 2020
Channel Gating Neural Networks
NeurIPS 2019