mlsanityData to 14 Oct 2026

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions

arXiv 2205.01094 ↗First posted 1 May 2022cs.CR cs.LG q-fin.STcited by 15

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Abstract (arXiv)

More and more investors and machine learning models rely on social media (e.g., Twitter and Reddit) to gather real-time information and sentiment to predict stock price movements. Although text-based models are known to be vulnerable to adversarial attacks, whether stock prediction models have similar vulnerability is underexplored. In this paper, we experiment with a variety of adversarial attack configurations to fool three stock prediction victim models. We address the task of adversarial generation by solving combinatorial optimization problems with semantics and budget constraints. Our results show that the proposed attack method can achieve consistent success rates and cause significant monetary loss in trading simulation by simply concatenating a perturbed but semantically similar tweet.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 27 of its 54 references that are in the map. First posted on arXiv 1 May 2022.

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27 of 54 references.

References · 27

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2014Explaining and Harnessing Adversarial Examplescited by 7,364
  3. 2013Intriguing properties of neural networkscited by 5,155
  4. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  5. 2019Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailmentcited by 671
  6. 2017Adversarial Examples for Evaluating Reading Comprehension Systemscited by 571
  7. 2020BERT-ATTACK: Adversarial Attack Against BERT Using BERTcited by 491
  8. 2018Generating Natural Language Adversarial Examplescited by 424
  9. 2020BAE: BERT-based Adversarial Examples for Text Classificationcited by 316
  10. 2013Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Textscited by 310
  11. 2018Adversarial Example Generation with Syntactically Controlled Paraphrase Networkscited by 286
  12. 2021Gradient-based Adversarial Attacks against Text Transformerscited by 234
15 more
  1. 2018Deep Learning for Sentiment Analysis : A Surveycited by 139
  2. 2018Temporal Relational Ranking for Stock Predictioncited by 102
  3. 2019Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AIcited by 79
  4. 2021Towards Robustness Against Natural Language Word Substitutionscited by 69
  5. 2021Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!cited by 53
  6. 2020Universal Adversarial Attacks with Natural Triggers for Text Classificationcited by 51
  7. 2020Generating Fluent Adversarial Examples for Natural Languagescited by 49
  8. 2020Sentiment Analysis Based on Deep Learning: A Comparative Studycited by 37
  9. 2018Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classificationcited by 35
  10. 2021Grey-box Adversarial Attack And Defence For Sentiment Classificationcited by 28
  11. 2021RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Modelscited by 28
  12. 2021Generating Adversarial Computer Programs using Optimized Obfuscationscited by 22
  13. 2021Multi-granularity Textual Adversarial Attack with Behavior Cloningcited by 21
  14. 2020On the Transferability of Adversarial Attacksagainst Neural Text Classifiercited by 16
  15. 2020A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attackscited by 15

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Citing papers per year: 2022: 2; 2023: 5; 2024: 5; 2025: 3.

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  1. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 110
  2. 2023Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attackscited by 34
  3. 2023Efficient Continual Pre-training for Building Domain Specific Large Language Modelscited by 34
  4. 2023ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Triggercited by 31
  5. 2024Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Makingcited by 14
  6. 2022Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanismscited by 8
  7. 2023CT-GAT: Cross-Task Generative Adversarial Attack based on Transferabilitycited by 6
  8. 2024AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Predictioncited by 4
  9. 2024Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithmscited by 3
  10. 2024Empirical Asset Pricing with Large Language Model Agentscited by 2
  11. 2025NLP Security and Ethics, in the Wildcited by 2
  12. 2025Style Attack Disguise: When Fonts Become a Camouflage for Adversarial Intentcited by 2
3 more
  1. 2022FinTech for Social Good: A Research Agenda from NLP Perspectivecited by 1
  2. 2025Guillotine: Hypervisors for Isolating Malicious AIscited by 1
  3. 2024GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identificationcited by 0