AAAI 2022 Workshop AdvML Submissions

Meta Adversarial Perturbations
Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin, Zachary Golan-Strieb, David Wagner
- Published: 02 Dec 2021, Last Modified: 21 Apr 2024
- AAAI-22 AdvML Workshop Oral
- Readers: Everyone
Robust No-Regret Learning in Min-Max Stackelberg Games
Denizalp Goktas, Jiayi Zhao, Amy Greenwald
- Published: 02 Dec 2021, Last Modified: 21 Apr 2024
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
A Practical and Stealthy Adversarial Attack for Cyber-Physical Applications
Yifu Wu, Jin Wei-Kocsis
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Optimal Robust Classification Trees
Nathan Justin, Sina Aghaei, Andres Gomez, Phebe Vayanos
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Patch Vestiges in the Adversarial Examples Against Vision Transformer Can Be Leveraged for Adversarial Detection
Juzheng Li
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
Daniel Steinberg, Paul Munro
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)
Nancirose G Piazza, Vahid Behzadan
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems
Rohan Reddy Mekala, Sai Yerramreddy, Adam Porter
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images
Dvij Rajesh Kalaria, Aritra Hazra, Partha Pratim Chakrabarti
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
BiGrad: Differentiating through Bilevel Optimization Programming
Francesco Alesiani
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Provable Defense Against Clustering Attacks on 3D Point Clouds
Dishanika Dewani Denipitiyage, Thalaiyasingam Ajanthan, Parameswaran Kamalaruban, Adrian Weller
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
Yi Cai, Xuefei Ning, Yu Wang, Huazhong Yang
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Broad Adversarial Training with Data Augmentation in the Output Space
Nils Worzyk, Stella Yu
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Revisiting Adversarial Robustness of Classifiers With a Reject Option
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop Oral
- Readers: Everyone
Traversing the Local Polytopes of ReLU Neural Networks
Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Attention for Adversarial Attacks: Learning from your Mistakes
Florian Jaeckle, Aleksandr Agadzhanov, JINGYUE LU, M. Pawan Kumar
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop Oral
- Readers: Everyone
Heterogeneous Architecture Search Approach within Adversarial Dynamic Defense Framework
Qi Peng, Ruoxi Qin, Wenlin Liu, Libin Hou, Bin Yan, Linyuan Wang
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
The Diversity Metrics of Sub-models based on SVD of Jacobians for Ensembles Adversarial Robustness
Ruoxi Qin, Linyuan Wang, Xuehui Du, Bin Yan, Xingyuan Chen
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper
- Published: 02 Dec 2021, Last Modified: 21 Apr 2024
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
An Adversarial Benchmark for Fake News Detection Models
Lorenzo Jaime Yu Flores, Yiding Hao
- Published: 02 Dec 2021, Last Modified: 21 Apr 2024
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone
Improving Perceptual Quality of Adversarial Images Using Perceptual Distance Minimization and Normalized Variance Weighting
Berat Tuna KARLI, Deniz Sen, Alptekin Temizel
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
Kalun Ho, Avraam Chatzimichailidis, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop LongPaper
- Readers: Everyone
Aliasing coincides with CNNs vulnerability towards adversarial attacks
Julia Grabinski, Janis Keuper, Margret Keuper
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- AAAI-22 AdvML Workshop ShortPaper
- Readers: Everyone