Xiaofei Xie
22 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
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AAAI (7)
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adversarial attack
(8)
deep neural network
(3)
neural network
(3)
code generation
(3)
adversarial example
(3)
image restoration
(2)
multi-agent system
(2)
recurrent neural network
(2)
motion blur
(2)
black-box attack
(2)
large language model
(2)
catastrophic forgetting
(1)
policy optimization
(1)
object detection
(1)
imitation learning
(1)
reinforcement learning
(1)
representation learning
(1)
statistical consistency
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adversarial robustness
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sequence modeling
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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
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
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
EMNLP 2025
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
NIPS 2024
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
CVPR 2023
Neural Episodic Control with State Abstraction
ICLR 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
AVA: Adversarial Vignetting Attack against Visual Recognition
IJCAI 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
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
AAAI 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
AAAI 2021
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
NIPS 2020
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
DiffChaser: Detecting Disagreements for Deep Neural Networks
IJCAI 2019