  | PARHIZKARI, B., IANNILLO, A. K., FERREIRA TORRES, C., Banescu, S., Xu, J., & STATE, R. (2023). Timely Identification of Victim Addresses in DeFi Attacks. In Timely Identification of Victim Addresses in DeFi Attacks. Springer. doi:10.1007/978-3-031-54204-6_24  Peer reviewed |
 | FERREIRA TORRES, C., Jonker, H., & STATE, R. (2022). Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts. In International Symposium on Research in Attacks, Intrusions and Defenses, Limassol, Cyprus 26-28 October 2022. Peer reviewed |
 | FERREIRA TORRES, C. (2022). From Smart to Secure Contracts: Automated Security Assessment and Improvement of Ethereum Smart Contracts [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51118 |
 | Weintraub, B., FERREIRA TORRES, C., Nita-Rotaru, C., & STATE, R. (2022). A Flash(bot) in the Pan: Measuring Maximal Extractable Value in Private Pools. In ACM Internet Measurement Conference, Nice, France 25-27 October 2022. Peer reviewed |
 | FERREIRA TORRES, C., IANNILLO, A. K., Gervais, A., & STATE, R. (2021). ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts. In European Symposium on Security and Privacy, Vienna 7-11 September 2021. Peer reviewed |
 | FERREIRA TORRES, C., IANNILLO, A. K., Gervais, A., & STATE, R. (2021). The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts. In International Conference on Financial Cryptography and Data Security, Grenada 1-5 March 2021. Peer reviewed |
 | Zhou, L., Qin, K., FERREIRA TORRES, C., Le, D. V., & Gervais, A. (2021). High-Frequency Trading on Decentralized On-Chain Exchanges. In IEEE Symposium on Security and Privacy, 23-27 May 2021. Peer reviewed |
 | FERREIRA TORRES, C., Camino, R., & STATE, R. (2021). Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain. In USENIX Security Symposium, Virtual 11-13 August 2021. Peer reviewed |
  | CAMINO, R. D., FERREIRA TORRES, C., BADEN, M., & STATE, R. (2020). A Data Science Approach for Honeypot Detection in Ethereum. In 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). Peer reviewed |
 | FERREIRA TORRES, C., STEICHEN, M., NORVILL, R., FIZ PONTIVEROS, B., Jonker, H., & MAUW, S. (2020). ÆGIS: Shielding Vulnerable Smart Contracts Against Attacks. In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), October 5–9, 2020, Taipei, Taiwan. Peer reviewed |
 | FERREIRA TORRES, C., STEICHEN, M., & STATE, R. (2020). Towards Usable Protection Against Honeypots. In IEEE International Conference on Blockchain and Cryptocurrency, Toronto, Canada 3-6 May 2020. Peer reviewed |
 | STEICHEN, M., FERREIRA TORRES, C., FIZ PONTIVEROS, B., & STATE, R. (2019). Whispering Botnet Command and Control Instructions. In 2nd Crypto Valley Conference on Blockchain Technology, Zug 24-26 June 2019. Peer reviewed |
 | FERREIRA TORRES, C., STEICHEN, M., NORVILL, R., & JONKER, H. (2019). ÆGIS: Smart Shielding of Smart Contracts [Poster presentation]. CCS '19: 2019 ACM SIGSAC Conference on Computer and Communications Security. |
 | FERREIRA TORRES, C., STEICHEN, M., & STATE, R. (2019). The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts. In USENIX Security Symposium, Santa Clara, 14-16 August 2019. Peer reviewed |
 | FERREIRA TORRES, C., Schütte, J., & STATE, R. (2018). Osiris: Hunting for Integer Bugs in Ethereum Smart Contracts. In 34th Annual Computer Security Applications Conference (ACSAC ’18), San Juan, Puerto Rico, USA, December 3-7, 2018. doi:10.1145/3274694.3274737 Peer reviewed |
 | FERREIRA TORRES, C., & Jonker, H. (2018). Investigating Fingerprinters and Fingerprinting-Alike Behaviour of Android Applications. In 23rd European Symposium on Research in Computer Security, Barcelona, Spain, September 3-7, 2018. Peer reviewed |
 | FERREIRA TORRES, C., & TRUJILLO RASUA, R. (2016). The Fréchet/Manhattan distance and the trajectory anonymisation problem. In Proceedings of Data and Applications Security and Privacy - 30th Annual IFIP WG 11.3 Conference (DBSec 2016) (Lecture Notes in Computer Science). Springer. Peer reviewed |
 | NIELSEN, S. S., FERREIRA TORRES, C., DANOY, G., & BOUVRY, P. (2016). Tackling the IFP Problem with the Preference-Based Genetic Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference 2016 (pp. 965--972). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/2908812.2908954 Peer reviewed |
 | FERREIRA TORRES, C., NIELSEN, S. S., DANOY, G., & BOUVRY, P. (2015). Preference-Based Genetic Algorithm for Solving the Bio-Inspired NK Landscape Benchmark. In 7th European Symposium on Computational Intelligence and Mathematics (ESCIM). Peer reviewed |
 | FERREIRA TORRES, C., Jonker, H., & MAUW, S. (2015). FP-Block: Usable Web Privacy by Controlling Browser Fingerprinting. In G. Pernul, P. Y A Ryan, ... E. Weippl (Eds.), Computer Security -- ESORICS 2015 (pp. 3-19). Springer International Publishing. doi:10.1007/978-3-319-24177-7_1 Peer reviewed |