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Ali Ansari

2 accepted papers

2024

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples

ICML 2024poster

In recent years, there have been significant improvements in various forms of image outlier detection. However, outlier detection performance under adversarial settings lags far behind that in standard settings. This is due to the lack of effective exposure to adversarial scenarios during training,…

2024

Scanning Trojaned Models Using Out-of-Distribution Samples

NeurIPS 2024poster

Scanning for trojan (backdoor) in deep neural networks is crucial due to their significant real-world applications. There has been an increasing focus on developing effective general trojan scanning methods across various trojan attacks. Despite advancements, there remains a shortage of methods that…