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ORCIDJingtong Su
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2020 – today
- 2024
[j1]Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe:
On the Robustness of Neural Collapse and the Neural Collapse of Robustness. Trans. Mach. Learn. Res. 2024 (2024)- [i6]Jingtong Su, Julia Kempe, Karen Ullrich:
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs. CoRR abs/2408.01420 (2024) - 2023
- [c2]Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang:
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. AAAI 2023: 10519-10527 - [i5]Jingtong Su, Julia Kempe
:
Wavelets Beat Monkeys at Adversarial Robustness. CoRR abs/2304.09403 (2023) - [i4]Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe:
On the Robustness of Neural Collapse and the Neural Collapse of Robustness. CoRR abs/2311.07444 (2023) - 2022
- [i3]Nikolaos Tsilivis, Jingtong Su, Julia Kempe:
Can we achieve robustness from data alone? CoRR abs/2207.11727 (2022) - [i2]Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang:
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. CoRR abs/2212.09082 (2022) - 2020
- [c1]Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee:
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS 2020 - [i1]Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee:
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR abs/2009.11094 (2020)
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