NDSS 2021 Data Poisoning Attacks to Deep Learning Based Recommender Systems

NDSS 2022 Get a Model! Model Hijacking Attack Against Machine Learning ModelsПодробнее

NDSS 2021 Practical Blind Membership Inference Attack via Differential ComparisonsПодробнее

NDSS 2021 FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled DataПодробнее

NDSS 2023 - Backdoor Attacks Against Dataset DistillationПодробнее

NDSS 2023 - RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-b...Подробнее

Data Poisoning Attacks and Defenses to Crowdsourcing SystemsПодробнее

NDSS 2021 FLTrust: Byzantine-robust Federated Learning via Trust BootstrappingПодробнее

NDSS 2021 Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federat...Подробнее

NDSS 2023 - Securing Federated Sensitive Topic Classification against Poisoning AttacksПодробнее

NDSS 2021 Does Every Second Count? Time-based Evolution of Malware Behavior in SandboxesПодробнее

NDSS 2022 ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor AttacksПодробнее

NDSS 2021 Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox FuzzingПодробнее

NDSS 2018 - VulDeePecker: A Deep Learning-Based System for Vulnerability DetectionПодробнее

Clean-Label Backdoor Attacks on Video Recognition ModelsПодробнее

USENIX Security '23 - PORE: Provably Robust Recommender Systems against Data Poisoning AttacksПодробнее

Adversarial Learning in Deep Learning based Recommender Systems (ICDM 2020 NeuRec Workshop)Подробнее

NDSS 2017: Fake Co-visitation Injection Attacks to Recommender SystemsПодробнее

Analyzing Model Poisoning Attacks on Federated Learning at ScaleПодробнее

Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionПодробнее