Poster "deep neural networks" Papers

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Paper Type

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MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework

Ping Guo, Cheng Gong, Fei Liu et al.

CVPR 2025arXiv:2501.07251

Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling

Mingze Wang, Zeping Min, Lei Wu

ICML 2024arXiv:2311.14387
3
citations

Robust Universal Adversarial Perturbations

Changming Xu, Gagandeep Singh

ICML 2024arXiv:2206.10858
3
citations

SPADE: Sparsity-Guided Debugging for Deep Neural Networks

Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar et al.

ICML 2024arXiv:2310.04519
2
citations

Towards Certified Unlearning for Deep Neural Networks

Binchi Zhang, Yushun Dong, Tianhao Wang et al.

ICML 2024arXiv:2408.00920
25
citations

Unveiling Privacy, Memorization, and Input Curvature Links

Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi et al.

ICML 2024arXiv:2402.18726
13
citations