← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4854 directly classified papers

Papers per year

Papers

DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection IJCAI 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NIPS 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NIPS 2024
Auditing Privacy Mechanisms via Label Inference Attacks NIPS 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance EMNLP 2024
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NIPS 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Data-Free Hard-Label Robustness Stealing Attack AAAI 2024
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video AAAI 2024
Adversarial Robust Safeguard for Evading Deep Facial Manipulation AAAI 2024
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation NIPS 2024
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection AAAI 2024
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024
Multi-modal Adversarial Training for Zero-Shot Voice Cloning INTERSPEECH 2024
OSLO: One-Shot Label-Only Membership Inference Attacks NIPS 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024