ICCV 2021 Open Access Repository

Adversarial Robustness in the Real World

Can Optical Trojans Assist Adversarial Perturbations?: Adith Boloor,

Tong Wu,

Patrick Naughton,

Ayan Chakrabarti,

Xuan Zhang,

Yevgeniy Vorobeychik; [pdf] [supp]
[bibtex]
@InProceedings{Boloor_2021_ICCV, author = {Boloor, Adith and Wu, Tong and Naughton, Patrick and Chakrabarti, Ayan and Zhang, Xuan and Vorobeychik, Yevgeniy}, title = {Can Optical Trojans Assist Adversarial Perturbations?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {122-131} }
On Adversarial Robustness: A Neural Architecture Search Perspective: Chaitanya Devaguptapu,

Devansh Agarwal,

Gaurav Mittal,

Pulkit Gopalani,

Vineeth N Balasubramanian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Devaguptapu_2021_ICCV, author = {Devaguptapu, Chaitanya and Agarwal, Devansh and Mittal, Gaurav and Gopalani, Pulkit and Balasubramanian, Vineeth N}, title = {On Adversarial Robustness: A Neural Architecture Search Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {152-161} }
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation: Yuan Wu,

Diana Inkpen,

Ahmed El-Roby; [pdf]
[bibtex]
@InProceedings{Wu_2021_ICCV, author = {Wu, Yuan and Inkpen, Diana and El-Roby, Ahmed}, title = {Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {132-141} }
Evasion Attack STeganography: Turning Vulnerability of Machine Learning To Adversarial Attacks Into a Real-World Application: Salah Ghamizi,

Maxime Cordy,

Mike Papadakis,

Yves Le Traon; [pdf]
[bibtex]
@InProceedings{Ghamizi_2021_ICCV, author = {Ghamizi, Salah and Cordy, Maxime and Papadakis, Mike and Le Traon, Yves}, title = {Evasion Attack STeganography: Turning Vulnerability of Machine Learning To Adversarial Attacks Into a Real-World Application}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {31-40} }
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization: Thomas Duboudin,

Emmanuel Dellandréa,

Corentin Abgrall,

Gilles Hénaff,

Liming Chen; [pdf]
[bibtex]
@InProceedings{Duboudin_2021_ICCV, author = {Duboudin, Thomas and Dellandr\'ea, Emmanuel and Abgrall, Corentin and H\'enaff, Gilles and Chen, Liming}, title = {Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {51-60} }
Trojan Signatures in DNN Weights: Greg Fields,

Mohammad Samragh,

Mojan Javaheripi,

Farinaz Koushanfar,

Tara Javidi; [pdf] [arXiv]
[bibtex]
@InProceedings{Fields_2021_ICCV, author = {Fields, Greg and Samragh, Mohammad and Javaheripi, Mojan and Koushanfar, Farinaz and Javidi, Tara}, title = {Trojan Signatures in DNN Weights}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {12-20} }
On the Effect of Pruning on Adversarial Robustness: Artur Jordão,

Hélio Pedrini; [pdf]
[bibtex]
@InProceedings{Jordao_2021_ICCV, author = {Jord\~ao, Artur and Pedrini, H\'elio}, title = {On the Effect of Pruning on Adversarial Robustness}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1-11} }
Optical Adversarial Attack: Abhiram Gnanasambandam,

Alex M. Sherman,

Stanley H. Chan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gnanasambandam_2021_ICCV, author = {Gnanasambandam, Abhiram and Sherman, Alex M. and Chan, Stanley H.}, title = {Optical Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {92-101} }
Enhancing Adversarial Robustness via Test-Time Transformation Ensembling: Juan C. Pérez,

Motasem Alfarra,

Guillaume Jeanneret,

Laura Rueda,

Ali Thabet,

Bernard Ghanem,

Pablo Arbeláez; [pdf] [supp]
[bibtex]
@InProceedings{Perez_2021_ICCV, author = {P\'erez, Juan C. and Alfarra, Motasem and Jeanneret, Guillaume and Rueda, Laura and Thabet, Ali and Ghanem, Bernard and Arbel\'aez, Pablo}, title = {Enhancing Adversarial Robustness via Test-Time Transformation Ensembling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {81-91} }
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers: Yuzhen Ding,

Nupur Thakur,

Baoxin Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2021_ICCV, author = {Ding, Yuzhen and Thakur, Nupur and Li, Baoxin}, title = {AdvFoolGen: Creating Persistent Troubles for Deep Classifiers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {142-151} }
Countering Adversarial Examples: Combining Input Transformation and Noisy Training: Cheng Zhang,

Pan Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_ICCV, author = {Zhang, Cheng and Gao, Pan}, title = {Countering Adversarial Examples: Combining Input Transformation and Noisy Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {102-111} }
A Hierarchical Assessment of Adversarial Severity: Guillaume Jeanneret,

Juan C. Pérez,

Pablo Arbeláez; [pdf] [supp]
[bibtex]
@InProceedings{Jeanneret_2021_ICCV, author = {Jeanneret, Guillaume and P\'erez, Juan C. and Arbel\'aez, Pablo}, title = {A Hierarchical Assessment of Adversarial Severity}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {61-70} }
Patch Attack Invariance: How Sensitive Are Patch Attacks to 3D Pose?: Max Lennon,

Nathan Drenkow,

Phil Burlina; [pdf] [arXiv]
[bibtex]
@InProceedings{Lennon_2021_ICCV, author = {Lennon, Max and Drenkow, Nathan and Burlina, Phil}, title = {Patch Attack Invariance: How Sensitive Are Patch Attacks to 3D Pose?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {112-121} }
Detecting and Segmenting Adversarial Graphics Patterns From Images: Xiangyu Qu,

Stanley H. Chan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qu_2021_ICCV, author = {Qu, Xiangyu and Chan, Stanley H.}, title = {Detecting and Segmenting Adversarial Graphics Patterns From Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {71-80} }
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?: Nathan Inkawhich,

Kevin J Liang,

Jingyang Zhang,

Huanrui Yang,

Hai Li,

Yiran Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Inkawhich_2021_ICCV, author = {Inkawhich, Nathan and Liang, Kevin J and Zhang, Jingyang and Yang, Huanrui and Li, Hai and Chen, Yiran}, title = {Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {41-50} }
Impact of Colour on Robustness of Deep Neural Networks: Kanjar De,

Marius Pedersen; [pdf]
[bibtex]
@InProceedings{De_2021_ICCV, author = {De, Kanjar and Pedersen, Marius}, title = {Impact of Colour on Robustness of Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {21-30} }