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Adversarial Learning

4,854 papers

Papers per year

Papers

Adversarial Robustness in Multi-Task Learning: Promises and Illusions AAAI 2022
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes AAAI 2022
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations AAAI 2022
Adversarial Attack for Asynchronous Event-Based Data AAAI 2022
Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
Adversarial Bone Length Attack on Action Recognition AAAI 2022
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack AAAI 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022
Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning AAAI 2022
An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022
Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022
Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022
Learning Human Driving Behaviors with Sequential Causal Imitation Learning AAAI 2022
Adversarial Learning from Crowds AAAI 2022
Combating Adversaries with Anti-adversaries AAAI 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing AAAI 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022
Efficient Robust Training via Backward Smoothing AAAI 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022