Xiaofei Xie
22 papers · 2019–2026 · 10 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.
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Machine Learning
(18)
Deep Learning
(15)
Artificial Intelligence
(13)
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(12)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(8)
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(5)
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Computer Vision
(4)
Reinforcement Learning
(3)
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(3)
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(2)
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(2)
Keywords
adversarial attack
(8)
code generation
(3)
neural network
(3)
adversarial example
(3)
deep neural network
(3)
deep reinforcement learning
(2)
motion blur
(2)
large language model
(2)
black-box attack
(2)
image restoration
(2)
recurrent neural network
(2)
multi-agent system
(2)
policy optimization
(1)
imitation learning
(1)
catastrophic forgetting
(1)
statistical consistency
(1)
state abstraction
(1)
reinforcement learning
(1)
representation learning
(1)
adversarial robustness
(1)
Papers
Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation
AAAI 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
AAAI 2026
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
EMNLP 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay
AAAI 2025
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
AAAI 2025
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
NeurIPS 2024
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
CVPR 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
Neural Episodic Control with State Abstraction
ICLR 2023
AVA: Adversarial Vignetting Attack against Visual Recognition
IJCAI 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
AAAI 2021
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
AAAI 2021
Learning To Adversarially Blur Visual Object Tracking
ICCV 2021
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
ICLR 2021
RNNRepair: Automatic RNN Repair via Model-based Analysis
ICML 2021
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
IJCAI 2020
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
ECCV 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
AAAI 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
NeurIPS 2020
DiffChaser: Detecting Disagreements for Deep Neural Networks
IJCAI 2019