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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024
Stronger and Transferable Node Injection Attacks AAAI 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective AAAI 2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain AAAI 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
Game-Theoretic Unlearnable Example Generator AAAI 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods AAAI 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Robustness Verification of Multi-Class Tree Ensembles AAAI 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NIPS 2024
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly AAAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024
Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024
Decoupled Kullback-Leibler Divergence Loss NIPS 2024
Conditional Backdoor Attack via JPEG Compression AAAI 2024