Xi Li - RankMe

18 papers A* 2Misc 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Backdoor Inversion in Neural-Activation Space. MLSP Guangmingmei Yang, Xi Li, Hang Wang, George Kesidis, David J. Miller
2025	J	`jnl`	Correcting the distribution of batch normalization signals for Trojan mitigation. Neurocomputing Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2024	J	`jnl`	BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study. IEEE Trans. Knowl. Data Eng. Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2024	A*	`conf`	Temporal-Distributed Backdoor Attack against Video Based Action Recognition. AAAI Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
2024	J	`jnl`	Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks. CoRR Xi Li, Hang Wang, David J. Miller, George Kesidis
2023	—	`conf`	A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2023	J	`jnl`	Backdoor Mitigation by Correcting the Distribution of Neural Activations. CoRR Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2023	J	`jnl`	Temporal-Distributed Backdoor Attack Against Video Based Action Recognition. CoRR Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
2022	Misc	`conf`	Detecting Backdoor Attacks against Point Cloud Classifiers. ICASSP Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2022	Misc	`conf`	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. ICASSP Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2021	J	`jnl`	A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. CoRR Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2021	A*	`conf`	A Backdoor Attack against 3D Point Cloud Classifiers. ICCV Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	A Backdoor Attack against 3D Point Cloud Classifiers. CoRR Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	Backdoor Attack and Defense for Deep Regression. CoRR Xi Li, George Kesidis, David J. Miller, Vladimir Lucic
2021	J	`jnl`	Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	Robust and Active Learning for Deep Neural Network Regression. CoRR Xi Li, George Kesidis, David J. Miller, Maxime Bergeron, Ryan Ferguson, Vladimir Lucic
2021	J	`jnl`	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. CoRR Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2020	—	`conf`	A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers. DDDAS Xi Li, David J. Miller, Zhen Xiang, George Kesidis