Kun He
68 papers · 2016–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kun He?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xiaosen Wang, Yichen Yang, Zhen Yu
17 papers
· 2019–2025
· NAACL, ACL, UAI
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Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack
NAACL 2025
Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks
NAACL 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
ICCV 2025
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks
NAACL 2024
Rethinking the Backward Propagation for Adversarial Transferability
NeurIPS 2023
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions
ACL 2023
Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation
EMNLP 2023
Detecting textual adversarial examples through randomized substitution and vote
UAI 2022
Robust textual embedding against word-level adversarial attacks
UAI 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
EMNLP 2022
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack
ECCV 2022
Admix: Enhancing the Transferability of Adversarial Attacks
ICCV 2021
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks
AAAI 2021
Crafting Adversarial Examples for Neural Machine Translation
ACL 2021
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning
CVPR 2021
Natural language adversarial defense through synonym encoding
UAI 2021
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
ACL 2019