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Poster
Fri 11:00 SuperDeepFool: a new fast and accurate minimal adversarial attack
alireza abdollahpour · Mahed Abroshan · Seyed-Mohsen Moosavi-Dezfooli
Workshop
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li
Workshop
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
Sudarshan Srinivasan · Maria Mahbub · Amir Sadovnik
Workshop
Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers
Fatemeh Nourilenjan Nokabadi · Jean-Francois Lalonde · Christian Gagné
Workshop
On Adversarial Robustness of Language Models in Transfer Learning
Bohdan Turbal · Anastasiia Mazur · Jiaxu Zhao · Mykola Pechenizkiy
Workshop
Dissecting Adversarial Robustness of Multimodal LM Agents
Chen Wu · Rishi Shah · Jing Yu Koh · Ruslan Salakhutdinov · Daniel Fried · Aditi Raghunathan
Workshop
Dissecting Adversarial Robustness of Multimodal LM Agents
Chen Wu · Rishi Shah · Jing Yu Koh · Ruslan Salakhutdinov · Daniel Fried · Aditi Raghunathan
Poster
Thu 16:30 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning
Xu Yang · Chen Liu · Ying Wei
Workshop
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers
Fatemeh Nourilenjan Nokabadi · Yann Pequignot · Jean-Francois Lalonde · Christian Gagné
Poster
Thu 11:00 DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
Fengpeng Li · Kemou Li · Haiwei Wu · Jinyu Tian · Jiantao Zhou
Poster
Thu 11:00 DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
Oryan Yehezkel · Alon Zolfi · Amit Baras · Yuval Elovici · Asaf Shabtai
Poster
Wed 16:30 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
Kaike Zhang · Qi Cao · Yunfan Wu · Fei Sun · Huawei Shen · Xueqi Cheng