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add several recent works on untargeted attacks in FL #507

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25 changes: 22 additions & 3 deletions materials/paper_list/FL-Attacker/README.md
Original file line number Diff line number Diff line change
@@ -1,14 +1,17 @@
# Attacks in FL
## Privacy Attacks in FL
Here we present recent works on the attacks in FL.

|[Survey](#survey)|[Privacy Attacks](#privacy-attacks-in-fl)|[Backdoor Attacks](#backdoor-attacks-in-fl)|[Untargeted Attacks](#untargeted-attacks-in-fl)|


## Survey
| Title | Venue | Link | Year
| ------------------------------------------------------------ | ---------- |---------------------------------------------|-----------|
| A Survey on Gradient Inversion: Attacks, Defenses and Future Directions | arxiv | [pdf](https://arxiv.org/pdf/2206.07284.pdf) | 2022 |
| Threats to Federated Learning: A Survey | arxiv| [pdf](https://arxiv.org/pdf/2003.02133.pdf) | 2020 |




## Privacy Attacks in FL

## 2022
| Title | Venue | Link |
Expand Down Expand Up @@ -92,3 +95,19 @@
|Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning |arxiv|[pdf](https://arxiv.org/pdf/1712.05526.pdf)|


## Untargeted Attacks in FL
## 2022
| Title | Venue | Link |
| --- | --- | --- |
|Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework|NeurIPS|[pdf](https://openreview.net/pdf?id=4OHRr7gmhd4)|

## 2021
| Title | Venue | Link |
| --- | --- | --- |
|Manipulating the byzantine: Optimizing model poisoning attacks and defenses for federated learning|NDSS|[pdf](https://par.nsf.gov/servlets/purl/10286354)|

## 2020
| Title | Venue | Link |
| --- | --- | --- |
|Local Model Poisoning Attacks to Byzantine-Robust Federated Learning|USENIX SCEURITY|[pdf](https://www.usenix.org/system/files/sec20summer_fang_prepub.pdf)|
|Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation|UAI|[pdf](http://proceedings.mlr.press/v115/xie20a/xie20a.pdf)|