Neil Zhenqiang Gong
Orcid: 0000-0002-9900-9309
According to our database1,
Neil Zhenqiang Gong
authored at least 127 papers
between 2009 and 2024.
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Bibliography
2024
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.
CoRR, 2024
CoRR, 2024
2023
Comput. Secur., June, 2023
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.
CoRR, 2023
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
CoRR, 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework.
CoRR, 2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR, 2023
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters.
CoRR, 2023
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation.
Proceedings of the 32nd USENIX Security Symposium, 2023
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation.
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
IEEE Trans. Inf. Forensics Secur., 2022
Patterns, 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning.
CoRR, 2022
CoRR, 2022
Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation.
CoRR, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Proceedings of the Annual Computer Security Applications Conference, 2022
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
LogExtractor: Extracting digital evidence from android log messages via string and taint analysis.
Digit. Investig., 2021
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Proceedings of the SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, 2021
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Digital Forensics and Cyber Crime - 12th EAI International Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes.
Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary.
Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021
On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 29th USENIX Security Symposium, 2020
State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing.
Proceedings of the 8th International Conference on Learning Representations, 2020
Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges.
Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020
2019
IEEE Trans. Netw. Sci. Eng., 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.
CoRR, 2019
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation.
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning.
Proceedings of the 27th USENIX Security Symposium, 2018
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018
Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018
EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
Proceedings of the 34th Annual Computer Security Applications Conference, 2018
2017
ACM Trans. Intell. Syst. Technol., 2017
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields.
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017
SybilSCAR: Sybil detection in online social networks via local rule based propagation.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
IEEE Trans. Inf. Forensics Secur., 2016
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.
Proceedings of the 25th USENIX Security Symposium, 2016
Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016
2015
What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications.
IEEE Trans. Inf. Forensics Secur., 2015
CoRR, 2015
CoRR, 2015
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge.
Proceedings of the 22nd Annual Network and Distributed System Security Symposium, 2015
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
ACM Trans. Intell. Syst. Technol., 2014
IEEE Trans. Inf. Forensics Secur., 2014
SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection.
IEEE Trans. Inf. Forensics Secur., 2014
Soc. Netw. Anal. Min., 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
CoRR, 2013
2012
Proceedings of the IEEE Symposium on Security and Privacy, 2012
Evolution of social-attribute networks: measurements, modeling, and implications using google+.
Proceedings of the 12th ACM SIGCOMM Internet Measurement Conference, 2012
2011
CoRR, 2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011
2010
Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010
2009
Proceedings of the Scalable Information Systems, 4th International ICST Conference, 2009