Eric Wong

Artificial Intelligence · 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 158 citations into it
• Safety, Robustness & Interpretability — 59 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Large Language Models — 27 citations into it
• Safety Research — 13 citations into it
• Health Informatics — 11 citations into it

Whom Eric Wong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Iason Gabriel
7. Yann LeCun
8. Karen Simonyan
9. Ilya Sutskever
10. Nicholas Carlini

Who trusts Eric Wong overall

1. Qiusi Zhan

Papers from Eric Wong's perspective

Ordered by how strongly the researchers Eric Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Jailbreaking Black Box Large Language Models in Twenty Queries (2023) — 1,568 citations
• JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models (2024) — 556 citations
• SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks (2023) — 521 citations
• SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation (2023) — 415 citations