- 《Data Poisoning Attacks Against Federated Learning Systems》
- 《Towards poisoning of deep learning algorithms with backgradient optimization》
- 《Poison frogs! targeted clean-label poisoning attacks on neural networks》
- 《Poisoning attacks against support vector machines》
- 《Label sanitization against label flipping poisoning attacks》
- 《Poisoning attack in federated learning using generative adversarial nets》
- 《Analyzing federated learning through an adversarial lens》
- 《The hidden vulnerability of distributed learning in byzantium》
- 《Local model poisoning attacks to Byzantine-robust federated learning》
- 《DBA: Distributed Backdoor Attacks against Federated Learning》
- 《How to backdoor federated learning》
- 《Badnets: Identifying vulnerabilities in the machine learning model supply chain》
- 《A little is enough: Circumventing defenses for distributed learning》
- 《Can you really backdoor federated learning?》
- 《Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning》
- 《Trojaning Attack on Neural Networks》
- 《Deep models under the GAN: information leakage from collaborative deep learning》
- 《Inverting Gradients – How easy is it to break privacy in federated learning?》
- 《Fine-pruning: Defending against backdooring attacks on deep neural networks》
- 《Using trusted data to train deep networks on labels corrupted by severe noise》
- 《Draco: Byzantine-resilient distributed training via redundant gradients》
- 《Mitigating sybils in federated learning poisoning》
- 《Understanding distributed poisoning attack in federated learning》
- 《Auror: Defending against poisoning attacks in collaborative deep learning systems》
- 《Abnormal client behavior detection in federated learning》
- 《Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks》
- 《Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection》
- 《PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network》
- 《Spectral signatures in backdoor attacks》
- 《Neural cleanse: Identifying and mitigating backdoor attacks in neural networks》
- 《Detecting backdoor attacks on deep neural networks by activation clustering》
- 《DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks》
- 《Backdoor attacks on federated meta-learning》
- 《Learning to Detect Malicious Clients for Robust Federated Learning》
- 《Distributed statistical machine learning in adversarial settings: Byzantine gradient descent》
- 《Attack-Resistant Federated Learning with Residual-based Reweighting》
- 《Machine learning with adversaries: Byzantine tolerant gradient descent》
- 《Byzantine-robust distributed learning: Towards optimal statistical rates》
- 《RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets》
- 《Federated variance-reduced stochastic gradient descent with robustness to byzantine attacks》
- 《Asynchronous Byzantine machine learning (the case of SGD)》
- 《Byzantine-Resilient High-Dimensional Federated Learning》
- 《BASGD: Buffered Asynchronous SGD for Byzantine Learning》
- 《Robust aggregation for federated learning》
- 《Byzantine-robust federated machine learning through adaptive model averaging》
- 《Federated optimization: Distributed machine learning for on-device intelligence》
- 《Co-op: Cooperative machine learning from mobile devices》
- 《Biscotti: A ledger for private and securepeer-to-peer machine learning》
- 《BOHB: Robust and efficient hyperparameter optimization at scale》
- 《Dynamic Federated Learning Model for Identifying Adversarial Clients》
- 《Bayesian nonparametric federated learning of neural networks》
- 《Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning》
- 《Rappor: Randomized aggregatable privacypreserving ordinal response》
- 《TextHide: Tackling Data Privacy in Language Understanding Tasks》
- 《PrivacyFL: A simulator for privacy-preserving and secure federated learning》
- 《Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication》