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2026-06 (from id) |
oxwhirl/smac/smac/env/starcraft2/render.py 768c86dee853b804 |
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MIT (permissive) |
| SORA: Free Second-Order Attacks in Fast Adversarial Training added by Syntology |
2026-06 (from id) |
LIONS-EPFL/ELLE/eval_pgd50-10.py 0beec913c324c82a |
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MIT (permissive) |
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2026-03 (from id) |
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2026-02 (from id) |
inkitori/taudio/tasks/timestamp_all.py 768c86dee853b804 |
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| Calibrating Uncertainty for Zero-Shot Adversarial CLIP added by Syntology |
2025-12 (from id) |
VivienLu/UCAT/attacks.py 8a93e041134b597a |
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2025-12 (from id) |
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2025-10 (from id) |
OLab-Repo/WDA/wda.py c09cbca10020bb47 |
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MIT (permissive) |
| CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP |
5 Mar 2025 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation |
24 Feb 2025 |
identical code first harvested elsewhere 683ad0be49559242 |
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| Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models |
29 Oct 2024 |
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| Parameter Competition Balancing for Model Merging |
3 Oct 2024 |
duguodong7/pcb-merging/pcb-merging.py 683ad0be49559242 |
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| PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition |
15 Jul 2024 |
LixiaoTHU/PartImageNetPP/adv_utils.py 8a93e041134b597a |
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MIT (permissive) |
| Dissecting Adversarial Robustness of Multimodal LM Agents |
18 Jun 2024 |
chenwu98/agent-attack/agent_attack/attacks/clip_attack.py 6007bd5812bfaa0f |
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| Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models |
27 May 2024 |
Aalto-QuML/DiffAlign/diffalign/neuralnet/ema_pytorch.py e907f76525778206 |
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| Probabilistic Verification of Neural Networks using Branch and Bound |
27 May 2024 |
sen-uni-kn/probspecs/probspecs/operations/clamp.py 24efb96a2400ff7e |
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| How to Leverage Diverse Demonstrations in Offline Imitation Learning |
24 May 2024 |
liziniu/ISWBC/atari/experiments/agents/iswbc_agent.py 3336fdca39b09846 |
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| Adversarial Robustness for Visual Grounding of Multimodal Large Language Models |
16 May 2024 |
KuofengGao/MLLM-Grounding-Robustness/eval_scripts/target_to_all.py 52eb6c41f97993a4 |
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| Uniformly Stable Algorithms for Adversarial Training and Beyond |
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| Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective |
30 Apr 2024 |
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| Residual-based Language Models are Free Boosters for Biomedical Imaging |
26 Mar 2024 |
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| Few-Shot Adversarial Prompt Learning on Vision-Language Models |
21 Mar 2024 |
lionel-w2/FAP/attack/pgd.py 8a93e041134b597a |
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| Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation |
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Kaimary/MetaSQL/allenmodels/dataset_readers/enc_preproc.py 6bef2da47f1a8400 |
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| Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast |
13 Feb 2024 |
sail-sg/Agent-Smith/attack/optimize.py 3936f167deef1650 |
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| Diffusion Models are Certifiably Robust Classifiers |
4 Feb 2024 |
huanranchen/NoisedDiffusionClassifiers/attacks/utils.py 6007bd5812bfaa0f |
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| Efficient local linearity regularization to overcome catastrophic overfitting |
21 Jan 2024 |
lions-epfl/elle/core/models/SLAT_hidden_module.py 1e4ac7a9e6dd4298 |
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| Regularity as Intrinsic Reward for Free Play |
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orybkin/lexa-benchmark/d4rl/carla/carla_env.py ccc25780948874cb |
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| Frozen Transformers in Language Models Are Effective Visual Encoder Layers |
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ziqipang/lm4visualencoding/image_classification/engine.py 8a93e041134b597a |
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MIT (permissive) |
| On the Over-Memorization During Natural, Robust and Catastrophic Overfitting |
13 Oct 2023 |
tmllab/2024_ICLR_DOM/DOM.py 8a93e041134b597a |
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| PREADD: Prefix-Adaptive Decoding for Controlled Text Generation |
6 Jul 2023 |
jonnypei/acl23-preadd/methods/fudge/util.py 2f04763df90287b6 |
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| V-LoL: A Diagnostic Dataset for Visual Logical Learning |
13 Jun 2023 |
ml-research/vlol-dataset-gen/blender_image_generator/get_b_box.py 97b29bd21738c149 |
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| ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer |
10 Jun 2023 |
gatech-eic/shiftaddvit/pvt/deepshift/modules.py f3c76f772fb760b8 |
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Apache-2.0 (permissive) |
| Any-to-Any Generation via Composable Diffusion |
19 May 2023 |
microsoft/i-Code/i-Code-Doc/core/common/utils.py 59eacee354fa7772 |
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| Point2Vec for Self-Supervised Representation Learning on Point Clouds |
29 Mar 2023 |
kabouzeid/point2vec/point2vec/modules/EMA.py e907f76525778206 |
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| Certified Robust Neural Networks: Generalization and Corruption Resistance |
3 Mar 2023 |
ryanlucas3/hr_neural_networks/HR_Neural_Networks/Paper_experiments/Section_6.2/Rice_HR/Rice_HR.py 8a93e041134b597a |
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| Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting |
25 Feb 2023 |
tarashakhurana/4d-occ-forecasting/utils/evaluation.py 9cb5038bb4debac9 |
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| Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? |
24 Feb 2023 |
VITA-Group/Robust_Weight_Signatures/trainer/engine_pgd.py 8a93e041134b597a |
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| On the Robustness of Randomized Ensembles to Adversarial Perturbations |
2 Feb 2023 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Stochastic Rising Bandits |
7 Dec 2022 |
albertometelli/stochastic-rising-bandits/src/reward_model.py 70d16b99ac1b2a81 |
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MIT (permissive) |
| Unifying Vision, Text, and Layout for Universal Document Processing |
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DS4SD/MarkushGrapher/markushgrapher/core/common/utils.py 59eacee354fa7772 |
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| On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning |
17 Nov 2022 |
rail-berkeley/d4rl/d4rl/carla/carla_env.py ccc25780948874cb |
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| Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach |
2 Nov 2022 |
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| A2: Efficient Automated Attacker for Boosting Adversarial Training |
7 Oct 2022 |
alipay/A2-efficient-automated-attacker-for-boosting-adversarial-training/train_cifar10.py 8a93e041134b597a |
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| Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation |
2022-10 (from id) |
panshark/cola/macad_gym/multi_env.py ccc25780948874cb |
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| Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering |
6 Oct 2022 |
liujch1998/rainier/rainier/ppo.py 37a3441d06cf812e |
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| TrojViT: Trojan Insertion in Vision Transformers |
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mxzheng/trojvit/utils.py 8a93e041134b597a |
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MIT (permissive) |
| Understanding Robust Overfitting of Adversarial Training and Beyond |
17 Jun 2022 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Adversarial Vulnerability of Randomized Ensembles |
14 Jun 2022 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Using Multiple Self-Supervised Tasks Improves Model Robustness |
7 Apr 2022 |
mattlawhon/SelfSupDefense/cifar10_defense.py 8a93e041134b597a |
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Apache-2.0 (permissive) |
| Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? |
16 Mar 2022 |
RICE-EIC/Patch-Fool/utils.py 8a93e041134b597a |
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MIT (permissive) |
| Sparsity Winning Twice: Better Robust Generalization from More Efficient Training |
20 Feb 2022 |
vita-group/sparsity-win-robust-generalization/Robust-Bird/utils/function.py 0beec913c324c82a |
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| Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction |
1 Feb 2022 |
SkoltechAI/fewbit/fewbit/functional/linear.py c8f42186142a2a86 |
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BSD-3-Clause (permissive) |
| Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks |
28 Oct 2021 |
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| Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks |
26 Oct 2021 |
RICE-EIC/Robust-Scratch-Ticket/trainers/default.py 8a93e041134b597a |
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MIT (permissive) |
| Dynamic Network Quantization for Efficient Video Inference |
23 Aug 2021 |
sunxm2357/VideoIQ/models/twod_models/ops/twoside_pact.py adc9dfd4579470c0 |
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| Adversarial Attacks are Reversible with Natural Supervision |
26 Mar 2021 |
cvlab-columbia/SelfSupDefense/cifar10_defense.py 8a93e041134b597a |
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Apache-2.0 (permissive) |
| CLIP: Cheap Lipschitz Training of Neural Networks |
23 Mar 2021 |
TimRoith/CLIP/adversarial_attacks.py 444c1bca3ed3cae9 |
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MIT (permissive) |
| Low Curvature Activations Reduce Overfitting in Adversarial Training |
15 Feb 2021 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Bag of Tricks for Adversarial Training |
1 Oct 2020 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Improving Adversarial Robustness by Enforcing Local and Global Compactness |
10 Jul 2020 |
tuananhbui89/Adversarial-Divergence-Reduction/ADR_pt/adr.py 8a93e041134b597a |
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| D4RL: Datasets for Deep Data-Driven Reinforcement Learning |
15 Apr 2020 |
anuragajay/d4rl/d4rl/carla/carla_env.py ccc25780948874cb |
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| Adversarial Weight Perturbation Helps Robust Generalization |
13 Apr 2020 |
csdongxian/AWP/AT_AWP/train_cifar10.py 8a93e041134b597a |
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MIT (permissive) |
| Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks |
3 Mar 2020 |
locuslab/robust_overfitting/train_cifar.py 8a93e041134b597a |
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| Overfitting in adversarially robust deep learning |
26 Feb 2020 |
identical code first harvested elsewhere 8a93e041134b597a |
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| Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving |
2 Feb 2020 |
Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving/hybrid-rl/sources/carla.py ccc25780948874cb |
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MIT (permissive) |
| Fast is better than free: Revisiting adversarial training |
12 Jan 2020 |
locuslab/fast_adversarial/MNIST/evaluate_mnist.py 8a93e041134b597a |
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| Fast is better than free: Revisiting adversarial training |
12 Jan 2020 |
MetaSolver/icml2021/MegaAdversarial/src/attacks/fgsm.py f1f502008abfb7b0 |
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BSD-3-Clause (permissive) |
| End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances |
25 Nov 2019 |
valeoai/LearningByCheating/misc/dynamic_weather.py ccc25780948874cb |
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MIT (permissive) |
| Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning |
11 Nov 2019 |
praveen-palanisamy/macad-gym/src/macad_gym/carla/PythonAPI/dynamic_weather.py ccc25780948874cb |
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MIT (permissive) |
| Explanations can be manipulated and geometry is to blame |
19 Jun 2019 |
pankessel/explanations_can_be_manipulated/src/nn/utils.py 3fc9f581b5e17469 |
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Apache-2.0 (permissive) |
| Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift |
29 Oct 2018 |
steverab/failing-loudly/generate_summary_tables.py dc5beb6794ffee14 |
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MIT (permissive) |
| Detecting and Correcting for Label Shift with Black Box Predictors |
12 Feb 2018 |
bbwang1030/half-kfn/halfkfn.py dc5beb6794ffee14 |
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| Improved Regularization of Convolutional Neural Networks with Cutout |
15 Aug 2017 |
barisozmen/deepaugment/src/deepaugment/transforms.py 77de6eeb25f3b2cc |
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MIT (permissive) |
| Towards Deep Learning Models Resistant to Adversarial Attacks |
19 Jun 2017 |
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| Asynchronous Methods for Deep Reinforcement Learning |
4 Feb 2016 |
cdesilv1/sc2_ai_cdes/deepmind_api_modified/pysc2/lib/renderer_human.py 768c86dee853b804 |
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| arXiv:Tanke_Social_Diffusion_Long-term_Multiple_Human_Motion_Anticipation_ICCV_2023_paper |
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jutanke/social_diffusion/social_diffusion/ema.py e907f76525778206 |
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| arXiv:Ming_Deep_Dive_Into_Gradients_Better_Optimization_for_3D_Object_Detection_CVPR_2023_paper |
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ming71/GCIoU-loss/pcdet/models/dense_heads/anchor_head_iou.py 01b37e5b0c9a8b57 |
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| arXiv:Guo_Improving_Robustness_of_Vision_Transformers_by_Reducing_Sensitivity_To_Patch_CVPR_2023_paper |
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guoyongcs/RSPC/RSPC_RVT/engine.py 8a93e041134b597a |
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