Leaderboards/Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jakob Gawlikowski
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2
Nadia Burkart
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
3
Valerie Chen
Carnegie Mellon University
4
Waddah Saeed
De Montfort University
5
Yihan Hu
InternetLab
6
Warren J. von Eschenbach
University of Notre Dame
7
Sayash Kapoor
Princeton University
8
Xiaohan Ding
Tsinghua University
9
Feng Wang
Merchants Chongqing Communications Research and Design Institute
10
Zongbo Han
Tianjin University

Rising Stars Papers

1
Why an overreliance on AI-driven modelling is bad for science
Nature|2025
20 cit.
2
Promises and Pitfalls of Artificial Intelligence for Legal Applications
SSRN Electronic Journal|2024
19 cit.
3
Need Help? Designing Proactive AI Assistants for Programming
Unknown Journal|2025
16 cit.
4
Single-image reflection removal via self-supervised diffusion models
The Journal of Supercomputing|2024
9 cit.
5
CodingGenie: A Proactive LLM-Powered Programming Assistant
Unknown Journal|2025
7 cit.
6
A principled framework for explainable multimodal disentanglement
Information Sciences|2024
3 cit.
7
CLIP-aware domain-adaptive super-resolution
Multimedia Systems|2025
1 cit.
8
Vulnerable transmission section determination method based on improved agglomerative hierarchical clustering
Unknown Journal|2025
1 cit.
9
Consensus and Divergence in Explainable AI (XAI): Evaluating Global Feature-Ranking Consistency with Empirical Evidence from Solar Energy Forecasting
Mathematics|2026
1 cit.
10
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
Unknown Journal|2026
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Zbigniew Wojna
University College London
2
Alexander A. Alemi
Google (United States)
3
Kaiming He
Guangdong Academy of Medical Sciences
4
Neil Zhenqiang Gong
Duke University
5
Zhangyang Wang
The University of Texas at Austin
6
Bo Li
University of California, Berkeley
7
Ian Goodfellow
Google (United States)
8
LempitskyVictor
Unknown
9
Deliang Fan
Arizona State University
10
Parker Barnes
Google (United States)

Emerging Leaders Papers

1
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining|2022
296 cit.
2
Adversarial Attack and Defense on Graph Data: A Survey
IEEE Transactions on Knowledge and Data Engineering|2022
243 cit.
3
Scaling Language-Image Pre-Training via Masking
Unknown Journal|2023
221 cit.
4
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
2022 IEEE Symposium on Security and Privacy (SP)|2022
136 cit.
5
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
2022 IEEE Symposium on Security and Privacy (SP)|2022
104 cit.
6
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Unknown Journal|2023
100 cit.
7
FLCert: Provably Secure Federated Learning Against Poisoning Attacks
IEEE Transactions on Information Forensics and Security|2022
84 cit.
8
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views
Unknown Journal|2023
81 cit.
9
Vision HGNN: An Image is More than a Graph of Nodes
Unknown Journal|2023
67 cit.
10
Evading Watermark based Detection of AI-Generated Content
Unknown Journal|2023
52 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Carlos Guestrin
University of Washington
2
Jian Sun
University of Macau
3
Francisco Herrera
Universidad de Granada
4
Javier Del Ser
Basque Center for Applied Mathematics
5
Ross Girshick
Allen Institute
6
Qinghua Hu
Tianjin University
7
Vitaly Shmatikov
Cornell University
8
Ananthram Swami
DEVCOM Army Research Laboratory
9
Xiaoqiang Zheng
Fujian Medical University
10
Dawn Song
University of California, Berkeley

Current Senior Leaders Papers

1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence|2016
54.2k cit.
2
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Unknown Journal|2014
31.8k cit.
3
Fast R-CNN
Unknown Journal|2015
27.9k cit.
4
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Unknown Journal|2015
18.8k cit.
5
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
arXiv (Cornell University)|2015
18.2k cit.
6
"Why Should I Trust You?"
Unknown Journal|2016
15.2k cit.
7
Momentum Contrast for Unsupervised Visual Representation Learning
Unknown Journal|2020
12k cit.
8
Segment Anything
Unknown Journal|2023
9.1k cit.
9
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion|2019
9k cit.
10
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Unknown Journal|2020
8.1k cit.

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