Obserwuj
Jinyuan Jia
Jinyuan Jia
Assistant Professor, Penn State
Zweryfikowany adres z psu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
M Fang, X Cao, J Jia, NZ Gong
USENIX Security Symposium, 2020
9722020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
J Jia, A Salem, M Backes, Y Zhang, NZ Gong
ACM Conference on Computer and Communications Security (CCS), 2019
3682019
Backdoor attacks to graph neural networks
Z Zhang, J Jia, B Wang, NZ Gong
ACM Symposium on Access Control Models and Technologies (SACMAT), 2021
1822021
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
J Jia, NZ Gong
USENIX Security Symposium, 2018
1792018
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
J Jia, Y Liu, NZ Gong
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
1402022
Stealing Links from Graph Neural Networks
X He, J Jia, M Backes, NZ Gong, Y Zhang
USENIX Security Symposium, 2021
1372021
Random walk based fake account detection in online social networks
J Jia, B Wang, NZ Gong
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2017
1372017
IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
X Cao, J Jia, NZ Gong
ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2021
1242021
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Z Zhang, X Cao, J Jia, NZ Gong
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
1182022
Provably Secure Federated Learning against Malicious Clients
X Cao, J Jia, NZ Gong
AAAI Conference on Artificial Intelligence (AAAI), 2021
1122021
AttriInfer: Inferring user attributes in online social networks using markov random fields
J Jia, B Wang, L Zhang, NZ Gong
Proceedings of the WWW, 1561-1569, 2017
1042017
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing
B Wang, X Cao, J Jia, NZ Gong
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, 2020
982020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
J Jia, X Cao, NZ Gong
AAAI Conference on Artificial Intelligence (AAAI), 2021
972021
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
J Jia, X Cao, B Wang, NZ Gong
International Conference on Learning Representations (ICLR), 2020
882020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
J Jia, B Wang, X Cao, NZ Gong
The Web Conference (WWW), 2020
812020
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
H Liu, J Jia, W Qu, NZ Gong
ACM Conference on Computer and Communications Security (CCS), 2021
772021
Data Poisoning Attacks to Local Differential Privacy Protocols
X Cao, J Jia, NZ Gong
USENIX Security Symposium, 2021
742021
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
J Jia, Y Liu, X Cao, NZ Gong
AAAI Conference on Artificial Intelligence (AAAI), 2022
68*2022
PointGuard: Provably Robust 3D Point Cloud Classification
H Liu, J Jia, NZ Gong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
672021
Structure-based sybil detection in social networks via local rule-based propagation
B Wang, J Jia, L Zhang, NZ Gong
IEEE Transactions on Network Science and Engineering (TNSE), 2019
572019
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