Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Wang Z, Wang H, Tian C, Jin Y (2025)
In: Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. Leonardis A, Ricci E, Roth S, Russakovsky O, Sattler T, Varol G (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 144-160.
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Autor*in
Wang, Zhaoxin;
Wang, Handing;
Tian, Cong;
Jin, YaochuUniBi 
Herausgeber*in
Leonardis, Aleš;
Ricci, Elisa;
Roth, Stefan;
Russakovsky, Olga;
Sattler, Torsten;
Varol, Gül
Erscheinungsjahr
2025
Buchtitel
Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII
Serientitel
Lecture Notes in Computer Science
Seite(n)
144-160
ISBN
978-3-031-73389-5
eISBN
978-3-031-73390-1
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2993966
Zitieren
Wang Z, Wang H, Tian C, Jin Y. Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. In: Leonardis A, Ricci E, Roth S, Russakovsky O, Sattler T, Varol G, eds. Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2025: 144-160.
Wang, Z., Wang, H., Tian, C., & Jin, Y. (2025). Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Lecture Notes in Computer Science. Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII (pp. 144-160). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73390-1_9
Wang, Zhaoxin, Wang, Handing, Tian, Cong, and Jin, Yaochu. 2025. “Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective”. In Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII, ed. Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol, 144-160. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
Wang, Z., Wang, H., Tian, C., and Jin, Y. (2025). “Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective” in Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII, Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., and Varol, G. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 144-160.
Wang, Z., et al., 2025. Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. In A. Leonardis, et al., eds. Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 144-160.
Z. Wang, et al., “Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective”, Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII, A. Leonardis, et al., eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025, pp.144-160.
Wang, Z., Wang, H., Tian, C., Jin, Y.: Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., and Varol, G. (eds.) Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science. p. 144-160. Springer Nature Switzerland, Cham (2025).
Wang, Zhaoxin, Wang, Handing, Tian, Cong, and Jin, Yaochu. “Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective”. Computer Vision – ECCV 2024. 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVIII. Ed. Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol. Cham: Springer Nature Switzerland, 2025. Lecture Notes in Computer Science. 144-160.
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