Khoa D Doan
9 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer
🏆
Grand Slam
🔥
Unstoppable
(5)
Conferences
ICLR (2)
NIPS (2)
AAAI (1)
ACML (1)
EACL (1)
ECCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
backdoor attack
(4)
federated learning
(2)
model security
(1)
model robustness
(1)
adversarial machine learning
(1)
distributed learning
(1)
part-of-speech tagging
(1)
machine unlearning
(1)
deep learning
(1)
adversarial attack
(1)
adversarial perturbation
(1)
text watermarking
(1)
poisoning attack
(1)
right to be forgotten
(1)
trigger generation
(1)
model poisoning
(1)
decentralized learning
(1)
data distillation
(1)
text quality
(1)
large language model
(1)
Papers
SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality
EACL 2026
Clean-Label Physical Backdoor Attacks with Data Distillation
AAAI 2026
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
ICML 2025
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
ICLR 2025
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors
ECCV 2024
Empirical Study of Federated Unlearning: Efficiency and Effectiveness
ACML 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
NIPS 2023
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
NIPS 2022