# Adversarial robustness and RL in finance

Area: [Deep reinforcement learning methods](https://mlsanity.com/deeprl/index.md). HTML: https://mlsanity.com/deeprl/adversarial-robustness-and-rl-in-finance/

## Key facts

- Adversarial robustness and RL in finance: 356 papers on arXiv since 2024 (data through 14 Oct 2026).
- 11 of its 356 mapped papers (3%) cite “SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents” (2024, arXiv 2405.20539).
- 10 of its 356 mapped papers (3%) cite “Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy” (2025, arXiv 2511.12120).
- 11 new papers 30 Sep–14 Oct.

## Most cited here

- [SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents](https://mlsanity.com/paper/2405.20539/) (2024), cited by 11 papers here
- [Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy](https://mlsanity.com/paper/2511.12120/) (2025), cited by 10 papers here
- [Autonomous Network Defence using Reinforcement Learning](https://mlsanity.com/paper/2409.18197/) (2024), cited by 9 papers here
- [Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey](https://mlsanity.com/paper/2403.00420/) (2024), cited by 8 papers here
- [Adversarial Inception Backdoor Attacks against Reinforcement Learning](https://mlsanity.com/paper/2410.13995/) (2024), cited by 7 papers here
- [The Evolution of Reinforcement Learning in Quantitative Finance: A Survey](https://mlsanity.com/paper/2408.10932/) (2024), cited by 6 papers here
- [Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error](https://mlsanity.com/paper/2402.02165/) (2024), cited by 4 papers here
- [Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies](https://mlsanity.com/paper/2402.12673/) (2024), cited by 4 papers here
- [CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents](https://mlsanity.com/paper/2410.16324/) (2024), cited by 4 papers here
- [Entity-based Reinforcement Learning for Autonomous Cyber Defence](https://mlsanity.com/paper/2410.17647/) (2024), cited by 4 papers here

## New (30 Sep–14 Oct)

- [Reinforcement Learning with Hawkes-Structured Networks for Market Making](https://mlsanity.com/paper/2610.16524/) (2026-10-12)
- [Equal-information evaluation of credit assignment in modular financial reinforcement learning](https://mlsanity.com/paper/2610.14750/) (2026-10-10)
- [When to Intervene? State-Aware Sparse Manipulation in Federated Reinforcement Learning](https://mlsanity.com/paper/2610.11523/) (2026-10-08)
- [SOTA: Stock Options Trading Agents Guided by Option-Implied Return Distributions](https://mlsanity.com/paper/2610.10407/) (2026-10-07)
- [BluffJAX: Adversarial Imperfect Information Games in JAX](https://mlsanity.com/paper/2610.07686/) (2026-10-06)
- [Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning](https://mlsanity.com/paper/2610.06083/) (2026-10-05)
- [Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning](https://mlsanity.com/paper/2610.06918/) (2026-10-02)
- [When a Correct Reward Is Not Enough: Diagnosing and Guiding PPO in an Analytically Solved Broker-Trader Game](https://mlsanity.com/paper/2610.03598/) (2026-10-02)
- [Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints](https://mlsanity.com/paper/2610.02074/) (2026-10-01)
- [PPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading](https://mlsanity.com/paper/2610.01325/) (2026-10-01)
- [Beyond Supra-Competitive Outcomes: Collusive Behaviour in Deep Reinforcement Learning for Optimal Execution Games](https://mlsanity.com/paper/2610.00619/) (2026-09-30)