mlsanityData to 7 Oct 2026

Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach

arXiv 2406.10719 ↗First posted 15 Jun 2024cs.CR cs.LG q-fin.CPcited by 3

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Abstract (arXiv)

With the growing use of voice-activated systems and speech recognition technologies, the danger of backdoor attacks on audio data has grown significantly. This research looks at a specific type of attack, known as a Stochastic investment-based backdoor attack (MarketBack), in which adversaries strategically manipulate the stylistic properties of audio to fool speech recognition systems. The security and integrity of machine learning models are seriously threatened by backdoor attacks, in order to maintain the reliability of audio applications and systems, the identification of such attacks becomes crucial in the context of audio data. Experimental results demonstrated that MarketBack is feasible to achieve an average attack success rate close to 100% in seven victim models when poisoning less than 1% of the training data.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 30 of its 65 references that are in the map. First posted on arXiv 15 Jun 2024.

Builds on

30 of 65 references.

References · 30

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  3. 2017BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chaincited by 1,052
  4. 2022data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Languagecited by 718
  5. 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 496
  6. 2020Backdoor Learning: A Surveycited by 412
  7. 2023Seamless: Multilingual Expressive and Streaming Speech Translationcited by 190
  8. 2020Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defensescited by 171
  9. 2021DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERTcited by 129
  10. 2022How to Backdoor Diffusion Models?cited by 102
  11. 2021UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Datacited by 76
  12. 2023A Comprehensive Survey on Applications of Transformers for Deep Learning Taskscited by 70
18 more
  1. 2023VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Modelscited by 68
  2. 2021Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bitscited by 49
  3. 2021Can You Hear It? Backdoor Attacks via Ultrasonic Triggerscited by 41
  4. 2024The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipelinecited by 33
  5. 2023Stealthy Backdoor Attack for Code Modelscited by 32
  6. 2023Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shiftcited by 31
  7. 2023BackdoorBox: A Python Toolbox for Backdoor Learningcited by 25
  8. 2023BayBFed: Bayesian Backdoor Defense for Federated Learningcited by 23
  9. 2023Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognitioncited by 14
  10. 2024Towards Unified Robustness Against Both Backdoor and Adversarial Attackscited by 9
  11. 2020Adversarial Machine Learning: Bayesian Perspectivescited by 8
  12. 2019Bayesian optimization in ab initio nuclear physicscited by 6
  13. 2023Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Datacited by 6
  14. 2022A Survey on Poisoning Attacks Against Supervised Machine Learningcited by 5
  15. 2022Dictionary Attacks on Speaker Verificationcited by 5
  16. 2022Backdoor Attacks on Bayesian Neural Networks using Reverse Distributioncited by 3
  17. 2024The last Dance : Robust backdoor attack via diffusion models and bayesian approachcited by 3
  18. 2014Impulse Control of a Diffusion with a Change Pointcited by 1

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2025Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Modelscited by 1
  2. 2024Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimizationcited by 0
  3. 2024Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learningcited by 0