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Artificial Intelligence
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Adversarial Learning
1235 directly classified papers
Papers per year
2009: 1
2010: 1
2011: 1
2013: 1
2014: 1
2016: 1
2017: 7
2018: 35
2019: 86
2020: 130
2021: 166
2022: 188
2023: 166
2024: 185
2025: 264
2026: 2
Papers
The Price of Implicit Bias in Adversarially Robust Generalization
NIPS 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
EMNLP 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
Diffusion Models are Certifiably Robust Classifiers
NIPS 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
NIPS 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
EMNLP 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NIPS 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
NIPS 2024
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
EMNLP 2024
Conditional Backdoor Attack via JPEG Compression
AAAI 2024
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
AAAI 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
NIPS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
NIPS 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings
EMNLP 2024
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NIPS 2024
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
EMNLP 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
NIPS 2024
Exploring Adversarial Robustness of Deep State Space Models
NIPS 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
AAAI 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NIPS 2024
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
Lyapunov-Stable Deep Equilibrium Models
AAAI 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
AAAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
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